Distinguished Professor Shyi-Ming Chen, Ph. D.

IEEE Fellow, IET Fellow, IFSA Fellow

Department of Computer Science and Information Engineering

National Taiwan University of Science and Technology

Taipei, Taiwan

 

Journal Papers

Books

Book Chapters

 

A. Journal Papers

  1. S. M. Chen, “A new approach to handling fuzzy decision-making problems,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 18, no. 6, pp. 1012-1016, November/December 1988. (SCI and EI)

  2. S. M. Chen, J. S. Ke, and J. F. Chang, “An efficient algorithm to handle medical diagnostic problems,” Cybernetics and Systems, vol. 21, no. 4, pp. 377-387, July/August 1990. (SCI and EI)

  3. S. M. Chen, J. S. Ke, and J. F. Chang, “Knowledge representation using fuzzy Petri nets,” IEEE Transactions on Knowledge and Data Engineering, vol. 2, no. 3, pp. 311-319, September 1990. (SCI and EI)

  4. S. M. Chen, J. S. Ke, and J. F. Chang, “An inexact reasoning technique based on extended fuzzy production rules,” Cybernetics and Systems, vol. 22, no. 2, pp. 151-171, March/April 1991. (SCI and EI)

  5. S. M. Chen, J. S. Ke, and J. F. Chang, “An inexact reasoning algorithm for dealing with inexact knowledge,” International Journal of Software Engineering and Knowledge Engineering, vol. 1, no. 3, pp. 227-244, September 1991. (SCI and EI)

  6. S. M. Chen, J. S. Ke, and J. F. Chang, “An inexact reasoning algorithm based on fuzzy rule matrix transformations,” Journal of Automated Reasoning, vol. 8, no. 1, pp. 77-90, February 1992. (SCI and EI)

  7. S. M. Chen, J. S. Ke, and J. F. Chang, “Fuzzy reasoning based on fuzzy Petri nets,” International Journal of Information and Management Sciences, vol. 3, no. 1, pp. 39-52, June 1992. (TSSCI and EI)

  8. S. M. Chen, “An improved algorithm for inexact reasoning based on extended fuzzy production rules,” Cybernetics and Systems, vol. 23, no. 5, pp. 463-482, September/October 1992. (SCI and EI)

  9. S. M. Chen, “A new approach to inexact reasoning for rule-based systems,” Cybernetics and Systems, vol. 23, no. 6, pp. 561-582, November/December 1992. (SCI and EI)

  10. S. M. Chen, “A methodology for knowledge base verification using fuzzy Petri nets,” International Journal of Information and Management Sciences, vol. 4, no. 2, pp. 119-135, December 1993. (TSSCI and EI)

  11. S. M. Chen, “A weighted fuzzy reasoning algorithm for medical diagnosis,” Decision Support Systems, vol. 11, no. 1, pp. 37-43, January 1994. (SCI and EI)

  12. M. S. Yeh and S. M. Chen, “A new method for fuzzy query processing using automatic clustering techniques,” Journal of Computers, vol. 6, no. 1, pp. 1-10, Spring 1994.

  13. S. M. Chen, “Fuzzy system reliability analysis using fuzzy number arithmetic operations,” Fuzzy Sets and Systems, vol. 64, no. 1, pp. 31-38, May 1994. (SCI and EI)

  14. S. M. Chen, “A new method for handling multicriteria fuzzy decision-making problems,” Cybernetics and Systems, vol. 25, no. 3, pp. 409-420, May/June 1994. (SCI and EI)

  15. S. M. Chen, A fuzzy reasoning approach based on extended Petri nets and the a-cuts operations of fuzzy numbers,” International Journal of Information and Management Sciences, vol. 5, no. 1, pp. 33-56, June 1994. (TSSCI and EI)

  16. S. M. Chen, “Applying fuzzy set theory in medical diagnosis,” Information and Education, vol. 41, no. 3, pp. 21-30, June 1994.

  17. S. M. Chen and J. M. Tan, “Handling multicriteria fuzzy decision-making problems based on vague set theory,” Fuzzy Sets and Systems, vol. 67, no. 2, pp. 163-172, October 1994. (SCI and EI)

  18. S. M. Chen, “A knowledge acquisition scheme for rule-based expert systems based on fuzzy Petri nets,” International Journal of Information Management and Engineering, vol. 1, no. 3, pp. 45-56, December 1994.

  19. S. M. Chen, “New methodology to fuzzy reasoning for rule-based expert systems,” Cybernetics and Systems, vol. 26, no. 2, pp. 237-263, March/April 1995. (SCI and EI)

  20. S. M. Chen, “Cognitive-map-based decision analysis based on NPN logics,” Fuzzy Sets and Systems, vol. 71, no. 2, pp. 153-163, April 1995. (SCI and EI)

  21. S. M. Chen and J. Y. Wang, “Document retrieval using knowledge-based fuzzy information retrieval techniques,” IEEE Transactions on Systems, Man, and Cybernetics, vol. 25, no. 5, pp. 793-803, May 1995. (SCI and EI)

  22. S. M. Chen, M. S. Yeh, and P. Y. Hsiao, “A comparison of similarity measures of fuzzy values,” Fuzzy Sets and Systems, vol. 72, no. 1, pp. 79-89, May 1995. (SCI and EI)

  23. S. M. Chen, “Measures of similarity between vague sets,” Fuzzy Sets and Systems, vol. 74, no. 2, pp. 217-223, September 1995. (SCI and EI)

  24. S. M. Chen, “Evaluating weapon systems using fuzzy arithmetic operations,” Fuzzy Sets and Systems, vol. 77, no. 3, pp. 265-276, February 1996. (SCI and EI)

  25. S. M. Chen and W. T. Jong, “Analyzing fuzzy system reliability using interval of confidence” International Journal of Information Management and Engineering, vol. 2, no. 1, pp. 16-23, February 1996.

  26. S. M. Chen, “A new method for evaluating weapon systems using fuzzy set theory,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 26, no. 4, pp. 493-497, July 1996. (SCI and EI)

  27. S. M. Chen, “New method for fuzzy system reliability analysis,” Cybernetics and Systems, vol. 27, no. 4, pp. 385-401, July/August 1996. (SCI and EI)

  28. S. M. Chen, “Forecasting enrollments based on fuzzy time series,” Fuzzy Sets and Systems, vol. 81, no. 3, pp. 311-319, August 1996. (SCI and EI)

  29. S. M. Chen, “New methods for subjective mental workload assessment and fuzzy risk analysis,” Cybernetics and Systems, vol. 27, no. 5, pp. 449-472, September/October 1996. (SCI and EI)

  30. S. M. Chen, “A fuzzy reasoning approach for rule-based systems based on fuzzy logics,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 26, no. 5, pp. 769-778, October 1996. (SCI and EI)

  31. S. M. Chen and Y. J. Horng, “Finding inheritance hierarchies in interval-valued fuzzy concept-networks,” Fuzzy Sets and Systems, vol. 84, no. 1, pp. 75-83, November 1996. (SCI and EI)

  32. S. M. Chen, W. H. Hsiao, and Y. J. Horng, “A knowledge-based method for fuzzy query processing for document retrieval,” Cybernetics and Systems, vol. 28, no. 1, pp. 99-119, January/February 1997. (SCI and EI)

  33. S. M. Chen, “Similarity measures between vague sets and between elements,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 27, no. 1, pp. 153-158, February 1997. (SCI and EI)

  34. S. M. Chen and W. T. Jong, “Comments on “A Petri net model for temporal knowledge representation and reasoning”,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 27, no. 1, pp. 165-166, February 1997. (SCI and EI)

  35. S. M. Chen and W. T. Jong, “Fuzzy query translation for relational database systems,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 27, no. 4, pp. 714-721, August 1997. (SCI and EI)

  36. S. M. Chen, “Interval-valued fuzzy hypergraph and fuzzy partition,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 27, no. 4, pp. 725-733, August 1997. (SCI and EI)

  37. S. M. Chen, W. H. Hsiao, and W. T. Jong, “Bidirectional approximate reasoning based on interval-valued fuzzy sets,” Fuzzy Sets and Systems, vol. 91, no. 3, pp. 339-353, November 1997. (SCI and EI)

  38. S. M. Chen, “A new method for tool steel materials selection under fuzzy environment,” Fuzzy Sets and Systems, vol. 92, no. 3, pp. 265-274, December 1997. (SCI and EI)

  39. S. M. Chen and M. S. Yeh, “Generating fuzzy rules from relational database systems for estimating null values,” Cybernetics and Systems, vol. 28, no. 8, pp. 695-723, December 1997. (SCI and EI)

  40. W. H. Hsiao, S. M. Chen, and C. H. Lee, “A new interpolative reasoning method in sparse rule-based systems,” Fuzzy Sets and Systems, vol. 93, no. 1, pp. 17-22, January 1998. (SCI and EI)

  41. S. M. Chen, “Aggregating fuzzy opinions under the group decision-making environment,” Cybernetics and Systems, vol. 29, no. 4, pp. 363-376, June 1998. (SCI and EI)

  42. S. M. Chen and Y. S. Shiau, “Vague reasoning and knowledge representation using extended fuzzy Petri nets,” Journal of Information Science and Engineering, vol. 14, no. 2, pp. 391-408, June 1998. (SCI and EI)

  43. J. R. Hwang, S. M. Chen, and C. H. Lee, “Handling forecasting problems using fuzzy time series,” Fuzzy Sets and Systems, vol. 100, no. 2, pp. 217-228, November 1998. (SCI and EI)

  44. Y. J. Horng and S. M. Chen, “Fuzzy query processing for document retrieval based on extended fuzzy concept networks,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 29, no. 1, pp. 96-104, February 1999. (SCI and EI)

  45. Y. J. Horng and S. M. Chen, “Finding inheritance hierarchies in fuzzy-valued concept-networks,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 29, no. 1, pp. 126-135, February 1999. (SCI and EI)

  46. T. P. Wu and S. M. Chen, “A new method for constructing membership functions and fuzzy rules from training examples,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 29, no. 1, pp. 25-40, February 1999. (SCI and EI)

  47. S. M. Chen, “Evaluating the rate of aggregative risk in software development using fuzzy set theory,” Cybernetics and Systems, vol. 30, no. 1, pp. 57-75, February 1999. (SCI and EI)

  48. S. M. Chen and C. H. Lee, “New methods for students' evaluation using fuzzy sets,” Fuzzy Sets and Systems, vol. 104, no. 2, pp. 209-218, June 1999. (SCI and EI)

  49. W. T. Jong, Y. S. Shiau, Y. J. Horng, H. H. Chen, and S. M. Chen, “Temporal knowledge representation and reasoning techniques using time Petri nets,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 29, no. 4, pp. 541-545, August 1999. (SCI and EI)

  50. S. M. Chen and J. R. Hwang, “Temperature prediction using fuzzy time series,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 30, no. 2, pp. 263-275, April 2000. (SCI and EI)

  51. S. M. Chen and W. H. Hsiao, “Bidirectional approximate reasoning for rule-based systems using interval-valued fuzzy sets,” Fuzzy Sets and Systems, vol. 113, no. 2, pp. 185-203, July 2000. (SCI and EI)

  52. S. M. Chen and S. Y. Lin, “A new method for constructing fuzzy decision trees and generating fuzzy classification rules from training examples,”  Cybernetics and Systems, vol. 31, no. 7, pp. 763-785, October/November 2000. (SCI and EI)

  53. S. M. Chen, “Fuzzy backward reasoning using fuzzy Petri nets,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 30, no. 6, pp. 846-856,  December 2000. (SCI and EI)

  54. S. M. Chen and H. H. Chen, “Estimating null values in the distributed relational databases environment,” Cybernetics and Systems, vol. 31, no. 8, pp. 851-871, December 2000. (SCI and EI)

  55. S. M. Chen, “Fuzzy group decision making for evaluating the rate of aggregative risk in software development,” Fuzzy Sets and Systems, vol. 118, no. 1, pp. 89-97, February 2001. (SCI and EI)

  56. S. M. Chen, Y. J. Horng, and C. H. Lee, “Document retrieval using fuzzy-valued concept networks,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 31, no. 1, pp. 111-118, February 2001. (SCI and EI)

  57. S. M. Chen, S. H. Lee, and C. H. Lee, “A new method for generating fuzzy rules from numerical data for handling classification problems,” Applied Artificial Intelligence, vol. 15, no. 7, pp. 645-664, August 2001. (SCI and EI)

  58. S. M. Chen and T. H. Chang, “Finding multiple possible critical paths using fuzzy PERT,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 31, no. 6, pp. 930-937, December 2001. (SCI and EI)

  59. S. M. Chen, “Forecasting enrollments based on high-order fuzzy time series,”  Cybernetics and Systems, vol. 33, no. 1, pp. 1-16, January/February 2002. (SCI and EI)

  60. S. M. Chen, “Weighted fuzzy reasoning using weighted fuzzy Petri nets,”  IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 2, pp. 386-397, March/April 2002. (SCI and EI)

  61. S. M. Chen and Y. S. Lin, “A new method for fuzzy query processing in relational database systems,” Cybernetics and Systems, vol. 33, no. 5, pp. 447-482, July/August 2002. (SCI and EI)

  62. S. M. Chen , C. H. Kao, and C. H. Yu, “Generating fuzzy rules from training data containing noise for handling classification problems,”  Cybernetics and Systems, vol. 33, no. 7, pp. 723-748, October/November 2002. (SCI and EI)

  63. S. M. Chen and Y. C. Chen, “Automatically constructing membership functions and generating fuzzy rules using genetic algorithms,” Cybernetics and Systems, vol. 33, no. 8, pp. 841-862, December 2002. (SCI and EI)

  64. S. M. Chen and S. W. Lee, “A new method to generate fuzzy rules from relational database systems for estimating null values,” Cybernetics and Systems, vol. 34, no. 1, pp. 33-57, January/February 2003. (SCI and EI)

  65. S. J. Chen and S. M. Chen, “Fuzzy risk analysis based on similarity measures of generalized fuzzy numbers,” IEEE Transactions on Fuzzy Systems, vol. 11, no. 1, pp. 45-56, February 2003. (SCI and EI)

  66. S. M. Chen, Analyzing fuzzy system reliability using vague set theory,” International Journal of Applied Science and Engineering, vol. 1, no. 1, pp. 82-88, March 2003.

  67. S. J. Chen and S. M. Chen, “A new method for handling multi-criteria fuzzy decision making problems using FN-IOWA operators,” Cybernetics and Systems, vol. 34, no. 2, pp. 109-137, March/April 2003. (SCI and EI)

  68. Y. J. Horng, S. M. Chen, and C. H. Lee, Automatically constructing multi-relationship fuzzy concept networks for document retrieval,” Applied Artificial Intelligence, vol. 17, no. 4, pp. 303-328, April 2003. (SCI and EI)

  69. S. M. Chen and C. H. Yu, “A new method to generate fuzzy rules from training instances for handling classification problems,” Cybernetics and Systems, vol. 34, no. 3, pp. 217-232, May 2003. (SCI and EI)

  70. Y. J. Horng, C. H. Lee, and  S. M. Chen, A new method to construct decision trees from training instances for handling classification problems,” International Journal of Information and Management Sciences, vol. 14, no. 2, pp. 57-75, June 2003. (TSSCI and EI)

  71. S. M. Chen and C. M. Huang, Generating weighted fuzzy rules from relational database systems for estimating null values using genetic algorithms,” IEEE Transactions on Fuzzy Systems, vol. 11, no. 4, pp. 495-506, August 2003. (SCI and EI)

  72. S. M. Chen and Y. C. Chen, New fuzzy query processing techniques for fuzzy database systems,” International Journal of Fuzzy Systems, vol. 5, no. 3, pp. 161-170, September 2003. (SCI and EI)

  73. S. M. Chen, Y. J. Horng, and C. H. Lee, “Fuzzy information retrieval based on multi-relationship fuzzy concept networks,” Fuzzy Sets and Systems, vol. 140, no. 1, pp. 183-205, November 2003. (SCI and EI)

  74. Y. J. Horng, S. M. Chen, and C. H. Lee, A new fuzzy information retrieval method based on document terms reweighting techniques,”  International Journal of Information and Management Sciences, vol. 14, no. 4, pp. 63-82, December 2003. (TSSCI and EI)

  75. S. M. Chen and C. H. Yu, “A new method for handling fuzzy classification problems using clustering techniques,”  International Journal of Applied Science and Engineering, vol. 2, no. 1, pp. 90-104, March 2004.

  76. S. M. Chen and C. H. Chang, “Generating fuzzy rules from training instances based on the exclusion of attribute terms,” Journal of Information Management and Engineering, vol. 5, no. 1, pp. 14-26, June 2004.

  77. S. G. Lin and S. M. Chen, Link monitor control system for the signaling system number 7 network,” Journal of Computers, vol. 16, no. 1-2, pp. 31-41, June 2004.

  78. S. M. Chen and C. T. Lee, “A new data mining method based on relational graphs of products,” International Journal of Information and Management Sciences, vol. 15, no. 3, pp. 69-87, September 2004. (TSSCI and EI)

  79. S. M. Chen and C. C. Hsu, A new method to forecast enrollments using fuzzy time series,” International Journal of Applied Science and Engineering, vol. 2, no. 3, pp. 234-244, December 2004.

  80. S. M. Chen, Knowledge representation and fuzzy reasoning using fuzzy deduction graphs,” Journal of Computers, vol. 16, no. 4, pp. 29-40, December 2004.

  81. S. M. Chen and Y. D. Fang, A new method to deal with fuzzy classification problems by tuning membership functions for fuzzy classification systems,” Journal of the Chinese Institute of Engineers, vol. 28, no. 1, pp. 169-173, January 2005. (SCI and EI)

  82. S. M. Chen and H. R. Hsiao, “A new method to estimate null values in relational database systems based on automatic clustering techniques,” Information Sciences, vol. 169, no. 1-2, pp. 47-69, January 2005. (SCI and EI)

  83. S. M. Chen and S. W. Lee, Estimating null values in relational database systems based on genetic algorithms,” Cybernetics and Systems, vol. 36, no. 1, pp. 85-106, January/February 2005. (SCI and EI)

  84. S. M. Chen and Y. D. Fang, A new approach for handling the Iris data classification problem,” International Journal of Applied Science and Engineering, vol. 3, no. 1, pp. 37-50, April 2005.

  85. Y. J. Horng, S. M. Chen, Y. C. Chang, and C. H. Lee, A new method for fuzzy information retrieval based on fuzzy hierarchical clustering and fuzzy inference techniques,” IEEE Transactions on Fuzzy Systems, vol. 13, no. 2, pp. 216-228, April  2005. (SCI and EI)

  86. S. J. Chen and S. M. Chen, Fuzzy information retrieval based on geometric-mean averaging operators,” Computers & Mathematics with Applications, vol. 49, no. 7-8, pp. 1213-1231, May 2005. (SCI and EI)

  87. S. J. Chen and S. M. Chen, “Aggregating fuzzy opinions in the heterogeneous group decision-making environment,”  Cybernetics and Systems, vol. 36, no. 3, pp. 309-338, April/May 2005. (SCI and EI)

  88. S. J. Chen and S. M. Chen, A prioritized information fusion method for handling fuzzy decision-making problems,” Applied Intelligence, vol. 22, no. 3, pp. 219-232, May/June 2005. (SCI and EI)

  89. S. M. Chen, T. Y. Chen, Y. T. Tsai, and L. S. Lin, An internet-based pulse diagnostic system of Chinese medicine based on the fuzzy set theory,” Journal of Information Management and Engineering, vol. 6, no. 1, pp. 1-12, June 2005.

  90. S. M. Chen and C. H. Chang, “A new method to construct membership functions and generate weighted fuzzy rules from training instances,” Cybernetics and Systems, vol. 36, no. 4, pp. 397-414, June 2005. (SCI and EI)

  91. S. M. Chen and F. M. Tsai, A new method to construct membership functions and generate fuzzy rules from training instances,” International Journal of Information and Management Sciences, vol. 16, no. 2, pp. 47-72, June 2005. (TSSCI and EI)

  92. S. M. Chen and H. L. Lin, Generating weighted fuzzy rules for handling classification problems,” International Journal of Electronic Business Management, vol. 3, no. 2, pp. 116-128, July 2005. (INSPEC)

  93. S. M. Chen, C. H. Lin, and S. J. Chen, Multiple DNA sequence alignment based on genetic algorithms and divide-and-conquer techniques,” International Journal of Applied Science and Engineering, vol. 3, no. 2, pp. 89-100, October 2005.

  94. S. M. Chen and H. L. Lin, Generating weighted fuzzy rules from training instances using genetic algorithms to handle the Iris data classification problem,” Journal of Information Science and Engineering, vol. 22, no. 1, pp. 175-188, January 2006. (SCI and EI)

  95. S. J. Chen and S. M. Chen, Handling information filtering problems based on interval-valued fuzzy numbers,” Journal of the Chinese Institute of Engineers, vol. 29, no. 1, pp. 83-96, January 2006. (SCI and EI)

  96. Y. C. Chen, L. H. Wang, and S. M. Chen, Generating weighted fuzzy rules from training data for dealing with the Iris data classification problem,” International Journal of Applied Science and Engineering, vol. 4, no. 1, pp. 41-52, April 2006.

  97. S. M. Chen and N. Y. Chung, Forecasting enrollments using high-order fuzzy time series and genetic algorithms,” International Journal of Intelligent Systems, vol. 21, no. 5, pp. 485-501, May 2006. (SCI and EI)

  98. L. W. Lee, L. H. Wang, S. M. Chen, and Y. H. Leu, Handling forecasting problems based on two-factors high-order fuzzy time series,” IEEE Transactions on Fuzzy Systems, vol. 14, no. 3, pp. 468-477, June 2006. (SCI and EI)

  99. H. C. Lin, L. H. Wang, and S. M. Chen, Query expansion for document retrieval based on fuzzy rules and user relevance feedback techniques,” Expert Systems with Applications, vol. 31, no. 2, pp. 397-405, August 2006 (SCI and EI)

  100. S. M. Chen and N. Y. Chung, Forecasting enrollments of students using fuzzy time series and genetic algorithms,” International Journal of Information and Management Sciences, vol. 17, no. 3, pp. 1-17, September 2006. (TSSCI and EI)

  101. Y. C. Chang and S. M. Chen, A new query reweighting method for document retrieval based on genetic algorithms,” IEEE Transactions on Evolutionary Computation, vol. 10, no. 5, pp. 617-622, October 2006. (SCI and EI)

  102. S. M. Chen, H. C. Lin, and Y. C. Chang, A new method for query reweighting for document retrieval based on neural networks,” International Journal of Information and Management Sciences, vol. 17, no. 4, pp. 95-110, December 2006. (TSSCI and EI)

  103. S. M. Chen and L. Y. Chen, A fuzzy hierarchical clustering method for clustering documents based on dynamic cluster centers,” Journal of the Chinese Institute of Engineers, vol. 30, no. 1, pp. 169-172, January 2007. (SCI and EI)

  104. S. J. Chen and S. M. Chen, Fuzzy risk analysis based on the ranking of generalized trapezoidal fuzzy numbers, ” Applied Intelligence, vol. 26, no. 1, pp. 1-11, February 2007 (SCI and EI)

  105. Y. C. Chang, S. M. Chen and  C. J. Liau, A new query expansion method for document retrieval based on the inference of fuzzy rules,” Journal of the Chinese Institute of Engineers, vol. 30, no. 3, pp. 511-515, May 2007. (SCI and EI)

  106. S. J. Chen and S. M. Chen, Fuzzy query processing for document retrieval based on GFNGMA operators,” Intelligent Automation and Soft Computing, vol. 13, no. 2, pp. 171-196, June 2007. (SCI and EI)

  107. S. M. Chen and C. H. Lin, Multiple DNA sequence alignment based on genetic simulated annealing techniques,” International Journal of Information and Management Sciences, vol. 18, no. 2, pp. 97-111, June 2007. (TSSCI and EI)

  108. W. S. Hong, S. J. Chen, L. H. Wang, and S. M. Chen, A new approach for fuzzy information retrieval based on  weighted power-mean averaging operators,” Computers & Mathematics with Applications, vol. 53, no. 12, pp. 1800-1819, June 2007. (SCI and EI)

  109. W. S. Hong, S. J. Chen, L. H. Wang, and S. M. Chen, Prioritized information fusion for information retrieval,” Journal of Intelligent & Fuzzy Systems, vol. 18, no,4, pp. 417-431, August 2007. (SCI and EI)

  110. S. M. Chen and H. R. Hsiao, A new approach for fuzzy query processing based on automatic clustering techniques,” International Journal of Information and Management Sciences, vol. 18, no. 3, pp. 223-240, September 2007. (TSSCI and EI)

  111. L. W. Lee, L. H. Wang, and S. M. Chen, Temperature prediction and TAIFEX forecasting based on fuzzy logical relationships and genetic algorithms,” Expert Systems with Applications, vol. 33, no. 3, pp. 539-550, October 2007. (SCI and EI)

  112. H. Y. Wang and S. M. Chen, Artificial intelligence approach to evaluate students' answerscripts based on the similarity measure between vague sets,” Educational Technology & Society, vol. 10, no. 4, pp. 224-241, October 2007. (SSCI)

  113. L. Y. Chen and S. M. Chen, A new approach for automatic thesaurus construction and query expansion for document retrieval,” International Journal of Information and Management Sciences, vol. 18, no. 4, pp. 299-315, December 2007. (TSSCI and EI)

  114. S. M. Bai and S. M. Chen, Evaluating students' learning achievement using fuzzy membership functions and fuzzy rules,” Expert Systems with Applications, vol. 34, no. 1, pp. 399-410, January 2008. (SCI and EI)

  115. L. W. Lee, L. H. Wang, and S. M. Chen, Temperature prediction and TAIFEX forecasting based on high-order fuzzy logical relationships and genetic simulated annealing techniques,” Expert Systems with Applications, vol. 34, no. 1, pp. 328-336, January 2008. (SCI and EI)

  116. J. D. Shie and S. M. Chen, Feature subset selection based on fuzzy entropy measures for handling classification problems,” Applied Intelligence, vol. 28, no. 1, pp. 69-82, February 2008. (SCI and EI)

  117. S. M. Chen and C. C. Hsu, A new approach for handling forecasting problems using high-order fuzzy time series,” Intelligent Automation and Soft Computing, vol. 14, no. 1, pp. 29-43, March 2008. (SCI and EI)

  118. H. C. Lin, L. H. Wang, and S. M. Chen, Query expansion for document retrieval by mining additional query terms,” International Journal of Information and Management Sciences, vol. 19, no. 1, pp. 17-30, March 2008. (TSSCI and EI)

  119. Y. C. Chang, S. M. Chen, and C. J. Liau, Multilabel text categorization based on a new linear classifier learning method and a category-sensitive refinement method,” Expert Systems with Applications, vol. 34, no. 3, pp. 1948-1953, April 2008. (SCI and EI)

  120. H. Y. Wang and S. M. Chen, Evaluating students' answerscripts using vague values,” Applied Intelligence, vol. 28, no. 2, pp. 183-193, April 2008. (SCI and EI)

  121. H. Y. Wang and S. M. Chen, Evaluating students' answerscripts using fuzzy numbers associated with degrees of confidence,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 2, pp. 403-415, April 2008. (SCI and EI)

  122. S. J. Chen and S. M. Chen, Fuzzy risk analysis based on measures of similarity between interval-valued fuzzy numbers,” Computers & Mathematics with Applications, vol. 55, no. 8, pp. 1670-1685, April 2008. (SCI and EI)

  123. H. Y. Wang and S. M. Chen, Evaluating students' answerscripts based on extended fuzzy grade sheets,” International Journal of Innovative Computing, Information and Control, vol. 4, no. 4, pp. 961-970, April 2008. (SCI and EI)

  124. L. W. Lee and S. M. Chen, Fuzzy risk analysis based on fuzzy numbers with different shapes and different deviations,” Expert Systems with Applications, vol. 34, no. 4, pp. 2763-2771, May 2008. (SCI and EI)

  125. C. H. Wang and S. M. Chen, Appraising the performance of high school teachers based on fuzzy number arithmetic operations,” Soft Computing, vol. 12, no. 9, pp. 919-934, July 2008. (SCI and EI)

  126. S. M. Bai and S. M. Chen, Automatically constructing concept maps based on fuzzy rules for adaptive learning systems,” Expert Systems with Applications, vol. 35, no. 1, pp. 41-49, August 2008. (SCI and EI)

  127. L. W. Lee and S. M. Chen, Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the ranking values of fuzzy sets,” Expert Systems with Applications, vol. 35, no. 3, pp. 850-864, October 2008. (SCI and EI)

  128. S. M. Chen and F. M. Tsai, Generating fuzzy rules from training instances for fuzzy classification systems,” Expert Systems with Applications, vol. 35, no. 3, pp. 611-621, October 2008. (SCI and EI)

  129. S. M. Chen and C. M. Huang, A new approach to generate weighted fuzzy rules using genetic algorithms for estimating null values,” Expert Systems with Applications, vol. 35, no. 3, pp. 905-917, October 2008. (SCI and EI)

  130. S. M. Bai and S. M. Chen, Automatically constructing grade membership functions of fuzzy rules for students' evaluation,” Expert Systems with Applications, vol. 35, no. 3, pp. 1408-1414, October 2008. (SCI and EI)

  131. Y. C. Chang, S. M. Chen, and C. J. Liau, Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the areas of fuzzy sets,”  IEEE Transactions on Fuzzy Systems, vol. 16, no. 5, pp. 1285-1301, October 2008. (SCI and EI)

  132. S. M. Chen and Y. K. Ko, Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on α-cuts and transformations techniques,” IEEE Transactions on Fuzzy Systems, vol. 16, no. 6, pp. 1626-1648, December 2008. (SCI and EI)

  133. S. H. Wei and S. M. Chen, A new approach for fuzzy risk analysis based on similarity measures of generalized fuzzy numbers,” Expert Systems with Applications, vol. 36, no. 1, pp. 589-598, January 2009. (SCI and EI)

  134. S. T. Chang and S. M. Chen, Estimating null values in relational database systems using automatic clustering and multiple regression techniques,” Expert Systems with Applications, vol. 36, no. 1, pp. 792-803, January 2009. (SCI and EI)

  135. S. M. Chen and S. T. Chang, Estimating null values in relational database systems having negative dependency relationships between attributes,” Cybernetics and Systems, vol. 40, no. 2, pp. 146-159, February 2009. (SCI and EI)

  136. N. Y. Wang and S. M. Chen, Temperature prediction and TAIFEX forecasting based on automatic clustering techniques and two-factors high-order fuzzy time series,” Expert Systems with Applications, vol. 36, no. 2, pp. 2143-2154, March 2009. (SCI and EI)

  137. S. H. Wei and S. M. Chen, Fuzzy risk analysis based on interval-valued fuzzy numbers,” Expert Systems with Applications, vol. 36, no. 2, pp. 2285-2299, March 2009. (SCI and EI)

  138. S. M. Chen and J. D. Shie, Fuzzy classification systems based on fuzzy information gain measures,” Expert Systems with Applications, vol. 36, no. 3, pp. 4517-4522, April 2009. (SCI and EI)

  139. S. M. Chen and C. H. Wang, A generalized model for prioritized multicriteria decision making systems,” Expert Systems with Applications, vol. 36, no. 3, pp. 4773-4783, April 2009. (SCI and EI)

  140. S. M. Chen and C. H. Wang, Fuzzy risk analysis based on ranking fuzzy numbers using α-cuts, belief features and signal/noise ratios,” Expert Systems with Applications, vol. 36, no. 3, pp. 5576-5581, April 2009. (SCI and EI)

  141. S. M. Chen and J. H. Chen, Fuzzy risk analysis based on similarity measures between interval-valued fuzzy numbers and interval-valued fuzzy number arithmetic operators,” Expert Systems with Applications, vol. 36, no. 3, pp. 6309-6317, April 2009. (SCI and EI)

  142. S. M. Chen and J. H. Chen, Fuzzy risk analysis based on ranking fuzzy numbers with different heights and different spreads,” Expert Systems with Applications, vol. 36, no. 3, pp. 6833-6842, April 2009. (SCI and EI)

  143. S. M. Chen and H. Y. Wang, Evaluating students' answerscripts based on interval-valued fuzzy grade sheets,” Expert Systems with Applications, vol. 36, no. 6, pp. 9839-9846, August 2009. (SCI and EI)

  144. S. M. Chen, N. Y. Wang, and J. S. Pan, Forecasting enrollments using automatic clustering techniques and fuzzy logical relationships,” Expert Systems with Applications, vol. 36, no. 8, pp. 11070-11076, October 2009. (SCI and EI)

  145. S. M. Chen and S. M. Bai, Learning barriers diagnosis based on fuzzy rules for adaptive learning systems,” Expert Systems with Applications, vol. 36, no. 8, pp. 11211-11220, October 2009. (SCI and EI)

  146. S. M. Chen, Y. K. Ko, Y. C. Chang, and J. S. Pan, Weighted fuzzy interpolative reasoning based on weighted increment transformation and weighted ratio transformation techniques,” IEEE Transactions on Fuzzy Systems, vol. 17, no. 6, pp. 1412-1427, December 2009. (SCI and EI)

  147. S. M. Chen and L. W. Lee, Fuzzy multiple attributes group decision-making based on the ranking values and the arithmetic operations of interval type-2 fuzzy sets,” Expert Systems with Applications, vol. 37, no. 1, pp. 824-833, January 2010. (SCI and EI)

  148. J. G. Wang, C. J. Lin, and S. M. Chen, Applying fuzzy method to vision-based lane detection and departure warning system,” Expert Systems with Applications, vol. 37, no. 1, pp. 113-126, January 2010. (SCI and EI)

  149. S. M. Chen and L. W. Lee, Fuzzy multiple attributes group decision-making based on the interval type-2 TOPSIS method,” Expert Systems with Applications, vol. 37, no. 4, pp. 2790-2798, April 2010. (SCI and EI)

  150. S. M. Chen and S. M. Bai, Using data mining techniques to automatically construct concept maps for adaptive learning systems,” Expert Systems with Applications, vol. 37, no. 6, pp. 4496-4503, June 2010. (SCI and EI)

  151. S. M. Chen and L. W. Lee, Fuzzy decision-making based on likelihood-based comparison relations,” IEEE Transactions on Fuzzy Systems, vol. 18, no. 3, pp. 613-628, June 2010. (SCI and EI)

  152. S. M. Chen and L. W. Lee, Fuzzy multiple criteria hierarchical group decision-making based on interval type-2 fuzzy sets,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 40, no. 5, pp. 1120-1128, September 2010. (SCI and EI)

  153. S. M. Chen and N. Y. Wang, Fuzzy forecasting based on fuzzy-trend logical relationship groups,” IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics, vol. 40, no. 5, pp. 1343-1358, October 2010. (SCI and EI)

  154. S. M. Chen and Y. C. Chang, Multi-variable fuzzy forecasting based on fuzzy clustering and fuzzy rule interpolation techniques,” Information Sciences, vol. 180, no. 24, pp. 4772-4783, December 2010. (SCI and EI)

  155. S. M. Chen and C. D. Chen, TAIEX forecasting based on fuzzy time series and fuzzy variation groups,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 1, pp. 1-12, February 2011. (SCI and EI)

  156. C. J. Lin, J. G. Wang, and S. M. Chen, 2D/3D face recognition using neural network based on hybrid Taguchi-particle swarm optimization,” International Journal of Innovative Computing, Information and Control, vol. 7, no. 2, pp. 537-553, February 2011. (SCI and EI)

  157. S. M. Chen and K. Sanguansat, Analyzing fuzzy risk based on a new fuzzy ranking method between generalized fuzzy numbers,” Expert Systems with Applications, vol. 38, no. 3, pp. 2163-2171, March 2011. (SCI and EI)

  158. S. M. Chen and C. D. Chen, Handling forecasting problems based on high-order fuzzy logical relationships,” Expert Systems with Applications, vol. 38, no. 4, pp. 3857-3864, April 2011. (SCI and EI)

  159. S. M. Chen and S. J. Niou, Fuzzy multiple attributes group decision-making based on fuzzy preference relations,” Expert Systems with Applications, vol. 38, no. 4, pp. 3865-3872, April 2011. (SCI and EI)

  160. S. M. Chen and C. Y. Chien, Parallelized genetic ant colony systems for solving the traveling salesman problem,” Expert Systems with Applications, vol. 38, no. 4, pp. 3873-3883, April 2011. (SCI and EI)

  161. S. M. Chen and S. J. Niou, Fuzzy multiple attributes group decision-making based on fuzzy induced OWA operators,” Expert Systems with Applications, vol. 38, no. 4, pp. 4097-4108, April 2011. (SCI and EI)

  162. S. M. Chen and T. K. Li, Evaluating students' learning achievement based on fuzzy rules with fuzzy reasoning capability,” Expert Systems with Applications, vol. 38, no. 4, pp. 4368-4381, April 2011. (SCI and EI)

  163. S. M. Chen and K. Sanguansat, Analyzing fuzzy risk based on similarity measures between interval-valued fuzzy numbers,” Expert Systems with Applications, vol. 38, no. 7, pp. 8612-8621, July 2011. (SCI and EI)

  164. S. M. Chen and T. K. Li, Evaluating students' learning achievement based on the eigenvector method,” Expert Systems with Applications, vol. 38, no. 7, pp. 8240-8250, July 2011. (SCI and EI)

  165. S. M. Chen and Y. C. Chang, Weighted fuzzy rule interpolation based on GA-based weight-learning techniques,” IEEE Transactions on Fuzzy Systems, vol. 19, no. 4, pp. 729-744, August 2011. (SCI and EI)

  166. S. M. Chen and Y. C. Chang, Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems,” Expert Systems with Applications, vol. 38, no. 8, pp. 9564-9572, August 2011. (SCI and EI)

  167. S. M. Chen and L. W. Lee, Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on interval type-2 fuzzy sets,” Expert Systems with Applications, vol. 38, no. 8, pp. 9947-9957, August 2011. (SCI and EI)

  168. S. M. Chen and K. Tanuwijaya, Multivariate fuzzy forecasting based on fuzzy time series and automatic clustering techniques,” Expert Systems with Applications, vol. 38, no. 8, pp. 10594-10605, August 2011. (SCI and EI)

  169. S. M. Chen and T. K. Li, Evaluating students' learning achievement by automatically generating the importance degrees of attributes of questions,” Expert Systems with Applications, vol. 38, no. 8, pp. 10614-10623, August 2011. (SCI and EI)

  170. S. M. Chen and Y. C. Chang, Fuzzy rule interpolation based on principle membership functions and uncertainty grade functions of interval type-2 fuzzy sets,” Expert Systems with Applications, vol. 38, no. 9, pp. 11573-11580, September 2011. (SCI and EI)

  171. S. M. Chen and Y. C. Chang, Fuzzy rule interpolation based on the ratio of fuzziness of interval type-2 fuzzy sets,” Expert Systems with Applications, vol. 38, no. 10, pp. 12202-12213, October 2011. (SCI and EI)

  172. J. B. Li, J. S. Pan, and S. M. Chen, Kernel self-optimized locality preserving discriminant analysis for feature extraction and recognition,” Neurocomputing, vol. 74, no. 17, pp. 3019-3027, October, 2011. (SCI and EI)

  173. S. M. Chen and C. Y. Chien, Solving the traveling salesman problem based on the genetic simulated annealing ant colony system with particle swarm optimization techniques,” Expert Systems with Applications, vol. 38, no. 12, pp. 14439-14450, November/December 2011. (SCI and EI)

  174. S. M. Chen and K. Tanuwijaya, Fuzzy forecasting based on high-order fuzzy logical relationships and automatic clustering techniques,” Expert Systems with Applications, vol. 38, no. 12, pp. 15425-15437, November/December 2011. (SCI and EI)

  175. S. M. Chen and L. W. Lee, Autocratic decision making using group recommendations based on the ILLOWA operators and likelihood-based comparison relations,” IEEE Transactions on Systems, Man, and Cybernetics-Part A: Systems and Humans, vol. 42, no. 1, pp. 115-129, January 2012. (SCI and EI)

  176. R. C. Chen, Y. H. Huang, C. T. Bau, and S. M. Chen, A recommendation system based on domain ontology and SWRL for anti-diabetic drugs selection,” Expert Systems with Applications, vol. 39, no. 4, pp. 3995-4006, March 2012. (SCI and EI)

  177. S. M. Chen, M. W. Yang, L. W. Lee, and S. W. Yang, Fuzzy multiple attributes group decision-making based on ranking interval type-2 fuzzy sets,” Expert Systems with Applications, vol. 39, no. 5, pp. 5295-5308, April 2012. (SCI and EI)

  178. P. W. Tsai, J. S. Pan, S. M. Chen, and B. Y. Liao, Enhanced parallel cat swarm optimization based on the Taguchi method,” Expert Systems with Applications, vol. 39, no. 7, pp. 6309-6319, June 2012. (SCI and EI)

  179. S. M. Chen, A. Munif, G. S. Chen, H. C. Liu, and B. C. Kuo, Fuzzy risk analysis based on ranking generalized fuzzy numbers with different left heights and right heights,” Expert Systems with Applications, vol. 39, no. 7, pp. 6320-6334, June 2012. (SCI and EI)

  180. S. M. Chen, L. W. Lee, H. C. Liu, and S. W. Yang, “Multiattribute decision making based on interval-valued intuitionistic fuzzy values,” Expert Systems with Applications, vol. 39, no. 12, pp. 10343-10351, September 2012. (SCI and EI)

  181. S. M. Chen, W. C. Hsin, S. W. Yang, and Y. C. Chang, “Fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on the slopes of fuzzy sets,”  Expert Systems with Applications, vol. 39, no. 15, pp. 11961-11969, November 2012. (SCI and EI)

  182. S. M. Chen, M. W. Yang, S. W. Yang, T. W. Sheu, and C. J. Liau, Multicriteria fuzzy decision making based on interval-valued intuitionistic fuzzy sets,” Expert Systems with Applications, vol. 39, no. 15, pp. 12085-12091, November 2012. (SCI and EI)

  183. S. M. Chen, H. P. Chu, and T. W. Sheu, TAIEX forecasting using fuzzy time series and automatically generated weights of multiple-factors,” IEEE Transactions on Systems, Man, and Cybernetics-Part A : Systems and Humans, vol. 42, no. 6, pp. 1485-1495, November 2012. (SCI and EI)

  184. S. M. Chen, L. W. Lee, S. W. Yang, and T. W. Sheu, “Adaptive consensus support model for group decision making systems,” Expert Systems with Applications, vol. 39, no. 16, pp. 12580-12588, November 2012. (SCI and EI)

  185. S. M. Chen and P. J. Sue, “Constructing concept maps for adaptive learning systems based on data mining techniques,” Expert Systems with Applications, vol. 40, no. 7, pp. 2746-2755, June 2013. (SCI and EI)

  186. S. M. Chen, G. M. T. Manalu, J. S. Pan, and H. C. Liu, “Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and particle swarm optimization techniques,” IEEE Transactions on Cybernetics, vol. 43, no. 3, pp. 1102-1117, June 2013. (SCI and EI)

  187. S. M. Chen, Y. C. Chang, and J. S. Pan, “Fuzzy rules interpolation for sparse fuzzy rule-based systems based on interval type-2 Gaussian fuzzy sets and genetic algorithms,” IEEE Transactions on Fuzzy Systems, vol. 21, no. 3, pp. 412-425, June 2013. (SCI and EI)

  188. S. M. Chen and T. S. Li, “Evaluating students' answerscripts based on interval-valued intuitionistic fuzzy sets,” Information Sciences, vol. 235, pp. 308-322, June 2013. (SCI and EI)

  189. S. M. Chen, Y. H. Huang, and R. C. Chen, “A recommendation system for anti-diabetic drugs selection based on fuzzy reasoning and ontology techniques,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, no. 4, pp. 1359001-1-1359001-18, June 2013. (SCI and EI)

  190. S. M. Chen, Y. C. Chang, Z. J. Chen, and C. L. Chen, “Multiple fuzzy rules interpolation with weighted antecedent variables in sparse fuzzy rule-based systems,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, no. 5, pp. 1359002-1 - 1359002-15, August 2013. (SCI and EI)

  191. V. R. L. Shen, Y. F. Chung, S. M. Chen, and J. Y. Guo, “A novel reduction approach for Petri net systems based on matching theory,” Expert Systems with Applications, vol. 40, no. 11, pp. 4562-4576, September 2013. (SCI and EI)

  192. S. M. Chen and C. Y. Wang, “Fuzzy decision making systems based on interval type-2 fuzzy sets,” Information Sciences, vol. 242, pp. 1-21, September 2013. (SCI and EI)

  193. S. M. Chen and P. Y. Kao, “TAIEX forecasting based on fuzzy time series, particle swarm optimization techniques and support vector machines,” Information Sciences, vol. 247, pp. 62-71, October 2013. (SCI and EI)

  194. S. M. Chen, L. W. Lee, and V. R. L. Shen, “Weighted fuzzy interpolative reasoning systems based on interval type-2 fuzzy sets,” Information Sciences, vol. 248, pp. 15-30, November 2013. (SCI and EI)

  195. S. M. Chen and Y. Randyanto, “A novel similarity measure between intuitionistic fuzzy sets and its applications,” International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, no. 7, pp. 1350021-1 - 1350021-34, November 2013. (SCI and EI)

  196. S. M. Chen, T. E. Lin, and L. W. Lee, “Group decision making using incomplete fuzzy preference relations based on the additive consistency and the order consistency,” Information Sciences, vol. 259, pp. 1-15, February 2014. (SCI and EI)

  197. S. M. Chen and M. H. Huang, “Automatically generating the weather news summary based on fuzzy reasoning and ontologytechniques,” Information Sciences, vol. 279, pp. 746-763, September 2014. (SCI and EI)

  198.  S. M. Chen and J. A. Hong, “Fuzzy multiple attributes group decision making based on ranking interval type-2 fuzzy sets and the TOPSIS method,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 44, no. 12, pp. 1665-1673, December 2014. (SCI and EI)

  199. S. M. Chen and J. A. Hong, “Multicriteria linguistic decision making based on hesitant fuzzy linguistic term sets and the aggregation of fuzzy sets,” Information Sciences, vol. 286, pp. 63-74, December 2014. (SCI and EI)

  200. S. M. Chen and B. H. Tsai, “Autocratic decision making using group recommendations based on the OWA operator and correlation coefficients,” Information Sciences, vol. 290, pp. 106-119, January 2015. (SCI and EI)

  201. S. M. Chen and C. H. Chang, “A novel similarity measure between Atanassov's intuitionistic fuzzy sets based on transformation techniques with applications to pattern recognition,” Information Sciences, vol. 291, pp. 96-114, January 2015. (SCI and EI)

  202. L. W. Lee and S. M. Chen, “Fuzzy decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets and hesitant fuzzy linguistic operators,” Information Sciences, vol. 294, pp. 513-529, February 2015. (SCI and EI)

  203. S. M. Chen and B. H. Tsai, “Autocratic decision making using group recommendations based on intervals of linguistic terms and likelihood-based comparison relations,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, vol. 45, no. 2, pp. 250-259, February 2015. (SCI and EI)

  204. S. M. Chen and S. W. Chen, “Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups and the probabilities of trends of fuzzy logical relationships,” IEEE Transactions on Cybernetics, vol. 45, no. 3, pp. 405-417, March 2015. (SCI and EI)

  205. S. M. Chen, S. H. Cheng, and T. E. Lin, “Group decision making systems using group recommendations based on interval fuzzy preference relations and consistency matrices,” Information Sciences, vol. 298, pp. 555-567, March 2015. (SCI and EI)

  206. S. M. Chen, S. H. Cheng, and Z. J. Chen, “Fuzzy interpolative reasoning based on the ratio of fuzziness of rough-fuzzy sets,” Information Sciences, vol. 299, pp. 394-411, April 2015. (SCI and EI)

  207. S. M. Chen and W. C. Hsin, “Weighted fuzzy interpolative reasoning based on the slopes of fuzzy sets and particle swarm optimization techniques,” IEEE Transactions on Cybernetics, vol. 45, no. 7, pp. 1250-1261 July 2015. (SCI and EI)

  208. L. W. Lee and S. M. Chen, “Fuzzy decision making and fuzzy group decision making based on likelihood-based comparison relations of hesitant fuzzy linguistic term sets,” Journal of Intelligent and Fuzzy Systems, vol. 29, no. 3, pp. 1119-1137, November 2015. (SCI and EI)

  209. S. H. Cheng, S. M. Chen, and C. L. Chen, “Fuzzy interpolative reasoning based on ranking values of polygonal fuzzy sets and automatically generated weights,” Information Sciences, vol. 325, pp. 521-540, December 2015. (SCI and EI)

  210. S. M. Chen and C. H. Chiou, “Multiattribute decision making based on interval-valued intuitionistic fuzzy sets, PSO techniques, and evidential reasoning methodology,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 6, pp. 1905-1916, December 2015. (SCI and EI)

  211. S. M. Chen, S. H. Cheng, and C. H. Chiou, “Fuzzy multiattribute group decision making based on intuitionistic fuzzy sets and evidential reasoning methodology,” Information Fusion, vol. 27, pp. 215-227, January 2016. (SCI and EI)

  212.  S. M. Chen, Y. Randyanto, and S. H. Cheng, “Fuzzy queries processing based on intuitionistic fuzzy social relational networks,” Information Sciences, vol. 327, pp. 110-124, January 2016. (SCI and EI)

  213.  S. H. Cheng, S. M. Chen, and W. S. Jian, “Fuzzy time series forecasting based on fuzzy logical relationships and similarity measures,” Information Sciences, vol. 327, pp. 272-287, January 2016. (SCI and EI)

  214. S. M. Chen and Z. J. Chen,“Weighted fuzzy interpolative reasoning for sparse fuzzy rule-based systems based on piecewise fuzzy entropies of fuzzy sets,” Information Sciences, vol. 329, pp. 503-523, February 2016. (SCI and EI)

  215. S. H. Cheng, S. M. Chen, and C. L. Chen,“Adaptive fuzzy interpolation based on ranking values of polygonal fuzzy sets and similarity measures between polygonal fuzzy sets,” Information Sciences, vol. 342, pp. 176-190, May 2016. (SCI and EI)

  216. S. M. Chen, S. H. Cheng, and T. C. Lan,“A novel similarity measure between intuitionistic fuzzy sets based on the centroid points of transformed fuzzy numbers with applications to pattern recognition,” Information Sciences, vol. 343–344, pp. 15–40, May 2016. (SCI and EI)

  217. S. M. Chen and C. H. Chang, “Fuzzy multiattribute decision making based on transformation techniques of intuitionistic fuzzy values and intuitionistic fuzzy geometric averaging operators,” Information Sciences, vol. 352-353, pp. 133-149, July 2016. (SCI and EI)

  218. S. H. Cheng, S. M. Chen, and Z. C. Huang, “Autocratic decision making using group recommendations based on ranking interval type-2 fuzzy sets,” Information Sciences, vol. 361-362, pp. 135-161, September 2016. (SCI and EI)

  219. S. M. Chen, S. H. Cheng, and T. C. Lan, “Multicriteria decision making based on the TOPSIS method and similarity measures between intuitionistic fuzzy values,” Information Sciences, vol. 367-368, pp. 279-295, November 2016. (SCI and EI)

  220. S. M. Chen, S. H. Cheng, and W. H. Tsai, “Multiple attribute group decision making based on interval-valued intuitionistic fuzzy aggregation operators and transformation techniques of interval-valued intuitionistic fuzzy values,” Information Sciences, vol. 367-368, pp. 418-442, November 2016. (SCI and EI)

  221. S. M. Chen and W. H. Tsai, “Multiple attribute decision making based on novel interval-valued intuitionistic fuzzy geometric averaging operators,” Information Sciences, vol. 367-368, pp. 1045-1065, November 2016. (SCI and EI)

  222. S. M. Chen and B. D. H. Phuong, “Fuzzy time series forecasting based on optimal partitions of intervals and optimal weighting vectors,” Knowledge-Based Systems, vol. 118, pp. 204-216, February 2017. (SCI and EI)

  223. S. M. Chen and Z. C. Huang, “Multiattribute decision making based on interval-valued intuitionistic fuzzy values and linear programming methodology,” Information Sciences, vol. 381, pp. 341-351, March 2017. (SCI and EI)

  224. S. M. Chen and W. S. Jian, “Fuzzy forecasting based on two-factors second-order fuzzy-trend logical relationship groups, similarity measures and PSO techniques,” Information Sciences, vol. 391-392, pp. 65-79, June 2017. (SCI and EI)

  225. C. Y. Wang and S. M. Chen, “Multiple attribute decision making based on interval-valued intuitionistic fuzzy sets, linear programming methodology, and the extended TOPSIS method,” Information Sciences, vol. 397-398, pp. 155-167, August 2017. (SCI and EI)

  226. S. M. Chen and Z. C. Huang, “Multiattribute decision making based on interval-valued intuitionistic fuzzy values and particle swarm optimization techniques,” Information Sciences, vol. 397-398, pp. 206-218, August 2017. (SCI and EI)

  227. P. Liu and S. M. Chen, “Group decision making based on Heronian aggregation operators of intuitionistic fuzzy numbers,” IEEE Transactions on Cybernetics, 2017. (SCI and EI)

  228. P. Liu, J. Liu, and S. M. Chen, “Some intuitionistic fuzzy Dombi Bonferroni mean operators and their application to multi-attribute group decision making,” Journal of the Operational Research Society, 2017. (SCI and EI)

  229. P. Liu, S. M. Chen, and J. Liu, “Multiple attribute group decision making based on intuitionistic fuzzy interaction partitioned Bonferroni mean operators,” Information Sciences, vol. 411, pp. 98-121, October 2017. (SCI and EI)

  230. C. Y. Wang and S. M. Chen, “An improved multiattribute decision making method based on new score function of interval-valued intuitionistic fuzzy values and linear programming methodology,” Information Sciencess, vol. 411, pp. 176-184, October 2017. (SCI and EI)

  231. S. M. Chen and L. W. Kuo, “Autocratic decision making using group recommendations based on interval type-2 fuzzy sets, enhanced Karnik-Mendel algorithms, and the ordered weighted aggregation operator,” Information Sciences, vol. 412-413, pp. 174-193, October 2017. (SCI and EI)

  232. S. M. Chen and S. I. Adam, “Adaptive fuzzy interpolation based on general representative values of polygonal fuzzy sets and the shift and modification techniques,” Information Sciences, vol. 414, pp. 147-157, November 2017. (SCI and EI)

 
B. Books
  1. B. C. Chien, T. P. Hong, S. M. Chen, and M. Ali, Next-Generation Applied Intelligence, LNAI 5579, Springer, Heidelberg, Germany, June 2009. (ISBN: 978-3-642-02567-9)

  2. N. T. Nguyen, R. Kowalczyk, and S. M. Chen, Computational Collective Intelligence-Semantic Web, Social Networks and Multiagent Systems, Springer, Heidelberg, Germany, October 2009. (ISBN: 978-3-642-04440-3)

  3. N. T. Nguyen, R. Katarzyniak, and S. M. Chen, Advances in Intelligent Information and Database Systems, Springer, Heidelberg, Germany, March 2010. (ISBN: 978-3-642-12089-3)

  4. J. S. Pan, S. M. Chen, and N. T. Nguyen, Computational Collective Intelligence: Technologies and Applications (Part I), LNAI 6421, Springer, Heidelberg, Germany, November 2010. (ISBN: 978-3-642-16693-8)

  5. J. S. Pan, S. M. Chen, and N. T. Nguyen, Computational Collective Intelligence: Technologies and Applications (Part II), LNAI 6422, Springer, Heidelberg, Germany, November 2010. (ISBN: 978-3-642-16731-7)

  6. J. S. Pan, S. M. Chen, and N. T. Nguyen, Computational Collective Intelligence: Technologies and Applications (Part III), LNAI 6423, Springer, Heidelberg, Germany, November 2010. (ISBN: 978-3-642-16696-9)

  7. W. Pedrycz and S. M. Chen, Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type, Springer, Heidelberg, Germany, May 2011. (ISBN: 978-3-642-19820-5)

  8. J. S. Pan, S. M. Chen, and N. T. Nguyen, Intelligent Information and Database Systems (Part I), LNAI 7196, Springer, Heidelberg, Germany, 2012. (ISBN: 978-3-319-05476-6)

  9. J. S. Pan, S. M. Chen, and N. T. Nguyen, Intelligent Information and Database Systems (Part II), LNAI 7197, Springer, Heidelberg, Germany, 2012. (ISBN: 978-3-642-12100-5)

  10. J. S. Pan, S. M. Chen, and N. T. Nguyen, Intelligent Information and Database Systems (Part III), LNAI 7198, Springer, Heidelberg, Germany, 2012. (ISBN: 978-3-642-28493-9)

  11. W. Pedrycz and S. M. Chen, Time Series Analysis, Modeling and Applications: A Computational Intelligence Perspective, Springer, Heidelberg, Germany, October 2012. (ISBN: 978-3-642-33438-2)

  12. W. Pedrycz and S. M. Chen, Social Networks: A Framework of Computational Intelligence, Springer, Heidelberg, Germany, January 2014. (ISBN: 978-3-319-02993-1)

  13. M. Ali, J. S. Pan, S. M. Chen, and M. F. Horng, Modern Advances in Applied Intelligence (Part I), LNAI 8481, Springer, Heidelberg, Germany, June 2014. (ISBN: 978-3-319-07454-2)

  14. M. Ali, J. S. Pan, S. M. Chen, and M. F. Horng, Modern Advances in Applied Intelligence (Part II), LNAI 8482, Springer, Heidelberg, Germany, June 2014. (ISBN: 978-3-319-07466-5)

  15. W. Pedrycz and S. M. Chen, Information Granularity, Big Data, and Computational Intelligence, Springer, Heidelberg, Germany, January 2015. (ISBN: 978-3-319-08254-7)

  16. W. Pedrycz and S. M. Chen, Granular Computing and Decision-Making: Interactive and Iterative Approaches, Springer, Heidelberg, Germany, 2015. (ISBN: 978-3-319-16829-6)

  17. W. Pedrycz and S. M. Chen, Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence, Springer, Heidelberg, Germany, 2016. (ISBN 978-3-319-30317-8)

  18. W. Pedrycz and S. M. Chen, Data Science and Big Data: An Environment of Computational Intelligence, Springer, Heidelberg, Germany, 2017. (ISBN 978-3-319-53474-9)

 

C. Book Chapters

  1. S. M. Chen, “A fuzzy reasoning methodology for rule-based systems,” in Fuzzy Reasoning in Information, Decision, and Control Systems, edited by S. G. Tzafestas and A. N. Venetsanopoulos, Kluwer Academic Publishers, Boston/Dordrecht, U. S. A., pp. 369-386, 1994.

  2. S. M. Chen, “Knowledge base verification using fuzzy Petri nets,” in Fuzziness in Petri Nets, edited by J. Cardoso and H. Scarpelli, Physica-Verlag, Heidelberg, Germany, pp. 202-222, 1999.

  3. S. M. Chen , “Techniques and applications of fuzzy theory in document retrieval systems,” in Fuzzy Theory Systems: Techniques and Applications, edited by C. T. Leondes, Academic Press, CA: San Diego, U. S. A., vol. 2, pp. 691-715, 1999.

  4. S. M. Chen and H. H. Chen, “Fuzzy query processing in the distributed relational databases environment,” in Database and Data Communication Network Systems: Techniques and Applications, edited by C. T. Leondes, Academic Press, CA: San Diego,   U. S. A., vol. 1, pp. 203-232, 2002.  

  5. S. M. Chen and M. S. Yeh, “A method for generating fuzzy rules from relational database systems for estimating null values,” in Intelligent Systems: Technology and Applications, edited by C. T. Leondes, CRC Press, FL: Boca Raton, U. S. A., vol. 4, pp. 157-179, 2002.

  6. S. M. Chen and Y. S. Lin, “A method for fuzzy query processing in relational database systems,” in Intelligent Systems: Technology and Applications, edited by C. T. Leondes, CRC Press, FL: Boca Raton,  U. S. A., vol. 4, pp. 123-155, 2002.

  7. S. J. Chen and S. M. Chen, “Prioritized fuzzy information fusion for handling multi-criteria fuzzy decision-making problems,” in Classification and Clustering for knowledge Discovery, edited by S. K. Halgamuge and L. Wang, Springer Verlag, Heidelberg, Germany, pp. 129-145, 2005.

  8. S. M. Chen, Analyzing fuzzy system reliability based on the vague set theory,” in Computational Intelligence in Reliability Engineering, edited by G. Levitin, Springer, Heidelberg, Germany, pp. 347-362, 2006.