next up previous
Next: Refereed conference papers Up: pub_list Previous: pub_list

Refereed journal papers

  1. Yao, Y.Y., Yang, J.L., Granular rough sets and granular shadowed sets: Three-way approximations in Pawlak approximation spaces. International Journal of Approximate Reasoning 142 (2022) 231-247.

  2. Yang, J.L., Yao, Y.Y., Zhang, X.Y., A model of three-way approximation of intuitionistic fuzzy sets. International Journal of Machine Learning and Cybernetics 13 (2022) 163-174.

  3. Zhang, X.Y., Yao, Y.Y., Tri-level attribute reduction in rough set theory. Expert Systems with Applications 190 (2022) 116187.

  4. Yao, Y.Y., The geometry of three-way decision. Applied Intelligence 51 (2021) 6298-6325.

  5. Yao, Y.Y., Set-theoretic models of three-way decision. Granular Computing 6 (2021) 133-148.

  6. Lang, G.M. Yao, Y.Y., New measures of alliance and conflict for three-way conflict analysis. International Journal of Approximate Reasoning 132 (2021) 49-69.

  7. Yang, J.L., Yao, Y.Y., A three-way decision based construction of shadowed sets from Atanassov intuitionistic fuzzy sets. Information Sciences 577 (2021) 1-21.

  8. Mao, H., Hu, M.J., Yao, Y.Y., Algebraic approaches to granular computing. Granular Computing 6 (2021) 119-131.

  9. Zhan, J.M., Jiang, H.B., Yao, Y.Y., Three-way multi-attribute decision-making based on outranking relations. IEEE Transactions on Fuzzy Systems 29 (2021) 2844-2858.

  10. Wang, X., Wang, P.X., Yang, X.B., Yao, Y.Y., Attribution reduction based on sequential three-way search of granularity. International Journal of Machine Learning and Cybernetics 12 (2021) 1439-1458.

  11. Al Aziz, M.M., Ahmed, T., Faequa, F., Jiang, X.Q., Yao, Y.Y., Mohammed, N., Differentially private medical texts generation using generative neural networks. ACM Transactions on Computing for Healthcare (HEALTH) 3(1) (2021) 5.

  12. Yao, Y.Y., Tri-level thinking: models of three-way decision. International Journal of Machine Learning and Cybernetics 11 (2020) 947-959.

  13. Yao, Y.Y., Three-way granular computing, rough sets, and formal concept analysis, International Journal of Approximate Reasoning 116 (2020) 106-125.

  14. 王宝丽, 姚一豫, 信息表中约简补集对及其一般定义. 南京大学学报（自然科学） 56 (2020) 461-468.
    Wang, B.L., Yao, Y.Y., A definition of complementary attribute reduct pairs in an information table. Journal of Nanjing University (Natural Science) 56 (2020) 461-468.

  15. Yang, J.L., Yao, Y.Y., Semantics of soft sets and three-way decision with soft sets, Knowledge-Based Systems 194 (2020) 105538.

  16. Fang, Y., Gao, C., Yao, Y.Y., Granularity-driven sequential three-way decisions: a cost-sensitive approach to classification, Information Sciences 507 (2020) 644-664.

  17. Liang, G.M., Luo, J.F. Yao, Y.Y., Three-way conflict analysis: a unification of models based on rough sets and formal concept analysis, Knowledge-Based Systems 194 (2020) 10556.

  18. Luo, J.F., Fujita H., Yao, Y.Y., Qin, K.Y., On modeling similarity and three-way decision under incomplete information in rough set theory, Knowledge-Based Systems 191 (2020) 105251.

  19. Yue, X.D., Zhou, J., Yao, Y.Y., Miao, D.Q., Shadowed neighborhoods based on fuzzy rough transformation for three-way classification, IEEE Transctions on Fuzzy Systems 28 (2020) 978-991.

  20. Zhan, J.M., Jiang, H.B. Yao, Y.Y., Covering-based variable precision fuzzy rough sets with PROMETHEE-EDAS methods, Information Sciences 538 (2020) 314-336.

  21. Zhan, J.M., Zhang, X.H., Yao, Y.Y., Covering based multigranulation fuzzy rough sets and corresponding applications, Artificial Intelligence Review 53 (2020) 1093-1126.

  22. Zhang, L., Zhan, J.M., Yao, Y.Y., Intuitionistic fuzzy TOPSIS method based on CVPIFRS models: an application to biomedical problems, Information Sciences 517 (2020) 315-339.

  23. Yao, Y.Y., Three-way conflict analysis: reformulations and extensions of the Pawlak model, Knowledge-Based Systems 180 (2019) 26-37.

  24. Hu, M.J., Yao, Y.Y., Structured approximations as a basis for three-way decisions in rough set theory, Knowledge-Based Systems 165 (2019) 92-109.

  25. Ma, X.A., Yao, Y.Y., Min-max attribute-object bireducts: On unifying models of reducts in rough set theory, Information Sciences 501 (2019) 68-83.

  26. Xu, Y., Yao, Y.Y., Partition order product space: Partition based granular computing model (in Chinese), Journal of Computer Research and Development 56 (2019) 836-843.

  27. Zhao, X.R., Yao, Y.Y., Three-way fuzzy partitions defined by shadowed sets, Information Sciences 497 (2019) 23-37.

  28. Hu, M.J., Deng, X.F., Yao, Y.Y., On the properties of subsethood measures, Information Sciences 494 (2019) 208-232.

  29. Zhang, K., Zhan, J.M., Yao, Y.Y., TOPSIS method based on a fuzzy covering approximation space: An application to biological nano-materials selection, Information Sciences 502 (2019) 297-329.

  30. Yao, Y.Y., Three-way decision and granular computing, International Journal of Approximate Reasoning 103 (2018) 107-123.

  31. 姚一豫， 祁建军， 魏玲 基于三支决策的形式概念分析, 粗糙集与粒计算. 西北大学学报自然科学版 48 (2018) 477-487.
    Yao, Y.Y., Qi, J.J., Wei, L., Formal concept analysis, rough set analysis and granular computing based on three-way decisions, Journal of Northwest Univerity (Natural Science Edition) 48 (2018) 477-487.

  32. Jiang, C.M., Yao, Y.Y., Effectiveness measures in movement-based three-way decisions, Knowledge-Based Systems 160 (2018) 136-143.

  33. Ma, X.A., Yao, Y.Y., Three-way decision perspectives on class-specific attribute reducts, Information Sciences 450 (2018) 227-245.

  34. Wang, P.X., Yao, Y.Y., CE3: A three-way clustering method based on mathematical morphology, Knowledge-Based Systems 155 (2018) 54-65.

  35. Yang, X.B., Yao, Y.Y., Ensemble selector for attribute reduction, Applied Soft Computing 70 (2018) 1-11.

  36. Zhang, K., Yao, Y.Y., A three learning states Bayesian knowledge tracing model, Knowledge-Based Systems 148 (2018) 189-201.

  37. Ren, R.S., Wei, L., Yao, Y.Y., An analysis of three types of partially-known formal concepts, International Journal of Machine Learning and Cybernetics 9 (2018) 1767-1783.

  38. Qian, Y.H., Liang, X.Y., Wang, Q., Liang, J.Y., Liu, B., Skowron, A., Yao, Y.Y., Ma, J.M., Dang, C.Y., Local rough set: A solution to rough data analysis in big data, International Journal of Approximate Reasoning 97 (2018) 38-63.

  39. Yao, Y.Y., Interval sets and three-way concept analysis in incomplete contexts, International Journal of Machine Learning and Cybernetics 8 (2017) 3-20.

  40. Yao, Y.Y., Wang, S., Deng, X.F., Constructing shadowed sets and three-way approximations of fuzzy sets, Information Sciences 412-413 (2017) 132-153.

  41. Yao, Y.Y., Zhang, X.Y., Class-specific attribute reducts in rough set theory, Information Sciences 418-419 (2017) 601-618.

  42. Gao, C., Yao, Y.Y., Actionable strategies in three-way decisions, Knowledge-based Systems 133 (2017) 141-155.

  43. Zhao, L.Q., Yao, Y.Y., Zhang, L., Measurement of general granules, Information Sciences 415-416 (2017) 128-141.

  44. Luo, C., Li, T.R., Yao, Y.Y., Dynamic probabilistic rough sets with incomplete data, Information Sciences 417 (2017) 39-54.

  45. Huang, J.J., Wang, J., Yao, Y.Y., Zhong, N., Cost-sensitive three-way recommendations by learning pair-wise preferences, International Journal of Approximate Reasoning 86 (2017) 28-40.

  46. Li, Y.F., Zhang, L.B., Xu, Y, Yao, Y.Y., Lau, R.Y.K., Wu, Y.T., Enhancing binary classification by modeling uncertain boundary in three-way decisions, IEEE Transaction on Knowledge and Data Engineering 29 (2017) 1438-1451.

  47. Yang, X., Li, T.R., Fujita, H., Liu, L., Yao, Y.Y., A unified model of sequential three-way decisions and multilevel incremental processing, Knowledge-based Systems 134 (2017) 172-188.

  48. Yao, Y.Y., Rough-set concept analysis: Interpreting RS-definable concepts based on ideas from formal concept analysis, Information Sciences 346-347 (2016) 442-462.

  49. Yao, Y.Y., Three-way decisions and cognitive computing, Cognitive Computation 8(4): 543-554, 2016.

  50. Yao, Y.Y., A triarchic theory of granular computing, Granular Computing 1(2), 145-157, 2016.

  51. Yao, Y.Y., She, Y.H., Rough set models in multigranulation spaces, Information Sciences 327: 40-56, 2016.

  52. Yao, Y.Y., Zhou, B., Two Bayesian approaches to rough sets, European Journal of Operational Research 251: 904-917, 2016.

  53. D'eer, L., Cornelis, C., Yao, Y.Y., A semantically sound approach to Pawlak rough sets and covering-based rough sets, International Journal of Approximate Reasoning 78: 62-72, 2016.

  54. Yu, H., Jiao, P., Yao, Y.Y., Wang, G.Y., Detecting and refining overlapping regions in complex networks with three-way decisions, Information Sciences 373: 21-41, 2016.

  55. Jia, X.Y., Shang, L., Zhou, B., Yao, Y.Y., Generalized attribute reduct in rough set theory, Knowledge-Based Systems 91: 204-218, 2016.

  56. Yao, Y.Y., The two sides of the theory of rough sets, Knowledge-based Systems 80: 67-77, 2015.

  57. Ma, J.M., Yao, Y.Y., Rough set approximations in multi-granulation fuzzy approximation spaces, Fundamenta Informaticae 142(1-4) 145-160, 2015.

  58. Yu, H., Wang, G.Y., Yao, Y.Y., Current research and future perspectives on decision-theoretic rough sets (in Chinese), Chinese Journal of Computers 38(8): 1628-1639, 2015.

  59. Huang, J.J., Yuan, X., Zhong, N., Yao, Y.Y., Modeling tag-aware recommendations based on user preferences, International Journal of Information Technology & Decision Making 14(5): 947-970, 2015.

  60. Yao, Y.Y., and Deng, X.F., Quantitative rough sets based on subsethood measures, Information Sciences 267: 306-322, 2014.

  61. Deng, X.F., and Yao, Y.Y., Decision-theoretic three-way approximations of fuzzy sets, Information Sciences 279: 702-715, 2014.

  62. Deng, X.F., and Yao, Y.Y., A multifaceted analysis of probabilistic three-way decisions, Fundamenta Informaticae 132: 291-313, 2014.

  63. Zhou, B., Yao, Y.Y. and Luo, J.G., Cost-sensitive three-way email spam filtering, Journal of Intelligent Information Systems 42(1): 19-45, 2014.

  64. Huang, J.J., Zhong, N., and Yao, Y.Y., A unified framework of targeted marketing using customer preferences, Computational Intelligence 30(3): 451-472, 2014.

  65. Chen, J.H., Ma, J.H., Zhong, N., Yao, Y.Y., Liu, J.M., Huang, R.H., Li, W.B., Huang, Z.S., Gao, Y., and Cao, J.P., WaaS - Wisdom as a service, IEEE Intelligent Systems 29(6): 40-47, 2014.

  66. Yao, Y.Y., Duality in rough set theory based on the square of opposition, Fundamenta Informaticae 127(1-4): 49-64, 2013.

  67. Yao, Y.Y. and Fu, R., The concept of reducts in Pawlak three-step rough set analysis, LNCS Transactions on Rough Sets XVI, LNCS 7736: 53-72, 2013.

  68. Xu, F.F., Miao, D.Q., Yao, Y.Y. and Wei, L., Rough approximations and the minimal set in knowledge spaces, Journal of Advanced Mathematics and Applications 2(2): 162-171, 2013.

  69. Zhong, N., Ma, J.H., Huang, R.H., Liu, J.M., Yao, Y.Y., Zhang, Y.X., and Chen, J.H., Research Challenges and Perspectives on Wisdom Web of Things (W2T), Journal of Supercomputing 64(3): 862-882, 2013.

  70. Yao, Y.Y. and Zhao, L.Q., A measurement theory view on the granularity of partitions, Information Sciences 213: 1-13, 2012.

  71. Yao, Y.Y. and Yao, B.X., Covering based rough set approximations, Information Sciences 200: 91-107, 2012.

  72. Yao, Y.Y., Zhang, N., Miao, D.Q., and Xu, F.F., Set-theoretic approaches to granular computing, Fundamenta Informaticae 115(2-3): 247-264, 2012.

  73. Miao, D.Q., Xu, F.F., Yao, Y.Y., and Wei, L., Set-theoretic formulation of granular computing (in Chinese), Chinese Journal of Computers 35(2): 351-263, 2012.

  74. Yang, J., Zhong, N., Yao, Y.Y., and Wang, J., Local peculiarity oriented data mining and its application in outlier detection, International Journal of Information Technology & Decision Making 11(6): 1155-1181, 2012.

  75. Yao, Y.Y., Two semantic issues in a probabilistic rough set model, Fundamenta Informaticae 108(3-4): 249-265, 2011.

  76. Yao, Y.Y., The superiority of three-way decisions in probabilistic rough set models, Information Sciences 181(6): 1080-1096, 2011.

  77. Grzymala-Busse, J.W., and Yao, Y.Y., Probabilistic rule induction with the LERS data mining system, International Journal of Intelligent Systems 26(6): 518-539, 2011.

  78. Liu, D., Yao, Y.Y., and Li, T.R., Three-way investment decisions with decision-theoretic rough sets, International Journal of Computational Intelligence Systems 4(1): 66-74, 2011.

  79. Zhou, B., and Yao, Y.Y., In search of effective granulization with DTRS for ternary classification, International Journal of Cognitive Informatics and Natural Intelligence 5(3): 47-60, 2011.

  80. Yang, J., Zhong, N., Yao, Y.Y., and Wang, J., Record-level peculiarity-based data analysis and classifications, Knowledge and Information Systems 28(1): 149-173, 2011.

  81. Zhao, Y., Wong, S.K.M. and Yao, Y.Y., A note on attribute reduction in the decision-theoretic rough set model, LNCS Transactions on Rough Sets XIII, LNCS 6499: 260-275, 2011.

  82. Zeng, Y., Zhong, N., Wang, Y., Qin, Y.L., Huang, Z.S., Zhou, H.Y., Yao, Y.Y., and van Harmelen, F., User-centric query refinement and processing using granularity-based strategies, Knowledge and Information Systems 27(3): 419-450, 2011.

  83. Yao, Y.Y., Three-way decisions with probabilistic rough sets, Information Sciences 180(3): 341-353, 2010.

  84. Zhou, B. and Yao, Y.Y., Evaluating information retrieval system performance based on user preference, Journal of Intelligent Information Systems 34(3): 227-248, 2010.

  85. Zhang, X.H., Yao, Y.Y., and Hong, Y., Rough implication operator based on strong topological rough algebras, Information Sciences 180(19):3764-3780, 2010.

  86. Qian, Y.H., Liang, J.Y., Yao, Y.Y., and Dang, C.Y., MGRS: A multi-granulation rough set, Information Sciences 180(6): 949-970, 2010.

  87. Wang, Y.X., Baciu, G., Yao, Y.Y., Kinsner, W., Chani, K., Zhang, B., Hameroff, S.R., Zhong, N., Huang, R.C., Goertzel, B., Miao, D.Q., Sugawara, K., Wang, G.Y., You, J., Zhang, D., Zhu, H.B., Perspectives on cognitive informatics and cognitive computing, International Journal of Cognitive Informatics and Natural Intelligence 4(1): 1-29, 2010.

  88. Yang, J., Zhong, N., Liang, P., Wang, J., Yao, Y.Y., and Lu, S. Brain activation detection by neighborhood one-class SVM, Cognitive Systems Research 11(1): 16-24, 2010.

  89. Wang, Y.X., Pedrycz, W., Baciu, G., Chen, P., Wang, G.Y., and Yao, Y.Y., Perspectives on cognitive computing and applications, International Journal of Software Science and Computational Intelligence 2(4): 32-44, 2010.

  90. Yao, Y.Y., Interpreting concept learning in cognitive informatics and granular computing, IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 39(4): 855-866, 2009.

  91. Yao, Y.Y., and Zhao, Y. Discernibility matrix simplification for constructing attribute reducts, Information Sciences 179(5): 867-882, 2009.

  92. Li, H.X., Yao, Y.Y., Zhou, X.Z. and Huang, B. A two-phase model for learning rules from incomplete data, Fundamenta Informaticae 94(2): 219-232, 2009.

  93. Wang, G.Y., Yao, Y.Y. and Yu, H. A survey on rough set theory and its application, Chinese Journal of Computers (in Chinese) 32(7): 1229-1246, 2009.

  94. Li, W., Zhong, N., Yao, Y.Y., and Liu, J. An operable email based intelligent personal assistant, World Wide Web: Internet and Web Information Systems 12(2): 125-147, 2009.

  95. Miao, D.Q., Zhao, Y., Yao, Y.Y., Li, H.X. and Xu, F.F. Relative reducts in consistent and inconsistent decision tables of the Pawlak rough set model, Information Sciences 179(24): 4140-4150, 2009.

  96. Wang, Y., Zadeh, L.A. and Yao, Y.Y. On the system algebra foundations for granular computing, International Journal of Software Science and Computational Intelligence 1(1): 64-86, 2009.

  97. Wang, Y.X., Kinsner, W., Anderson, J.A., Zhang, D. Yao, Y.Y., Sheu, P., Tsai, J., Pedrycz, W., Latombe, J.-C., Zadeh, L.A., Patel, D. and Chan, C. A Doctrine of Cognitive Informatics (CI), Fundamenta Informaticae 90(3): 203-228, 2009.

  98. Yao, Y.Y., Probabilistic rough set approximations, International Journal of Approximate Reasoning 49(2): 255-271, 2008.

  99. Yao, Y.Y. and Zhao, Y., Attribute reduction in decision-theoretic rough set models, Information Sciences 178(17): 3356-3373, 2008.

  100. Yao, Y.Y., Zhao, Y., Wang, J., On reduct construction algorithms, LNCS Transactions on Computational Science II, LNCS 5150: 100-117, 2008.

  101. Yao, Y.Y., Zhao, Y., Wang, J. and Han, S.Q., A model of user-oriented reduct construction for machine learning, LNCS Transactions on Rough Sets VIII, LNCS 5084: 341-360, 2008.

  102. Chen, Y.H. and Yao, Y.Y., A multiview approach for intelligent data analysis based on data operators, Information Sciences 178(1): 1-20, 2008.

  103. Wang, Y., Yao, Y.Y., and Wang, G.Y. Perspectives on denotational mathematics: new means of thought, LNCS Transactions on Computational Science II, LNCS 5150: 1-5, 2008.

  104. Zhou, B. and Yao, Y.Y., A logic approach to granular computing, International Journal of Cognitive Informatics and Natural Intelligence 2(2): 63-79, 2008.

  105. Zhao, Y., Chen, Y.H. and Yao, Y.Y. User-centered interactive data mining, International Journal of Cognitive Informatics and Natural Intelligence 2(1): 58-72, 2008.

  106. Yao, Y.Y., A note on definability and approximations, LNCS Transactions on Rough Sets VII, LNCS 4400: 274-282, 2007.

  107. Zhao, Y., Yao, Y.Y., and Luo, F., Data analysis based on discernibility and indiscernibility, Information Sciences 177(22): 4959-4976, 2007.

  108. Zhao, Y. and Yao, Y.Y., Interactive classification using a granule network, International Journal of Cognitive Informatics and Natural Intelligence 1(4): 87-97, 2007.

  109. Hoeber, O., Yang, X.D. and Yao, Y.Y., VisiQ: Supporting visual and interactive query refinement, Web Intelligence and Agent Systems: An International Journal 5(3): 311-329, 2007.

  110. Liang, H., Wang, J. and Yao, Y.Y., User-oriented feature selection for machine learning, The Computer Journal 50(4): 421-434, 2007.

  111. Ohshima, M. Zhong, N., Yao, Y.Y. and Liu, C., Relational peculiarity oriented mining, Data Mining and Knowledge Discovery, an International Journal 15(2): 249-273, 2007.

  112. Zhong, N., Liu, J. and Yao, Y.Y., Envisioning intelligent information technologies through the prism of web intelligence, Communications of the ACM 50(3): 89-94, 2007.

  113. Yao, Y.Y., Neighborhood systems and approximate retrieval, Information Sciences 176(23): 3431-3452, 2006.

  114. Yao, Y.Y. and Chen, Y.H., Rough set approximations in formal concept analysis, LNCS Transactions on Rough Sets V, LNCS 4100: 285-305, 2006.

  115. Zhao, Y., Yao, Y.Y. and Yao, J.T., Level-wise construction of decision trees for classification, International Journal Software Engineering and Knowledge Engineering 16(1): 103-126, 2006.

  116. Yao, J.T., Liu, W.N., Fan, L., Yao, Y.Y. and Yang, X.D., Supporting sustainable communities with web-based information systems, Journal of Environmental Informatics 7(2): 84-94, 2006.

  117. Yao, Y.Y., Wang, F.Y., Wang, J. and Zeng, D., Rule + exception strategies for security information analysis, IEEE Intelligent Systems 20(5): 52-57, 2005.

  118. Wang, J., Yao, Y.Y., and Wang, F.Y., ``Rule + exception'' learning based on reduct, Chinese Journal of Computers (in Chinese) 28(11): 1778-1789, 2005.

  119. Yao, Y.Y., Semantics of fuzzy sets in rough set theory, LNCS Transactions on Rough Sets II, LNCS 3135: 310-331, 2004.

  120. Yao, Y.Y., A partition model of granular computing, LNCS Transactions on Rough Sets I, LNCS 3100: 232-253, 2004.

  121. Yao, Y.Y., Probabilistic approaches to rough sets, Expert Systems 20(5): 287-297, 2003.

  122. Sai, Y. and Yao, Y.Y., Analyzing and mining ordered information tables, Journal of Computer Science and Technology 18(6): 771-779, 2003.

  123. Zhong, N., Yao, Y.Y. and Ohshima, M., Peculiarity oriented multi-database mining, IEEE Transactions on Knowledge and Data Engineering 15(4): 952-960, 2003.

  124. Li, J., Maguire, B. and Yao, Y.Y., A business process centered software analysis method, International Journal of Software Engineering and Knowledge Engineering 13(2): 153-168, 2003.

  125. Yao, Y.Y., Zhong, N., Huang, J., Ou, C. and Liu, C., Using market value functions for targeted marketing data mining, International Journal of Pattern Recognition and Artificial Intelligence 16(8): 1-14, 2002.

  126. Mordeson, J.N. and Yao, Y.Y., Fuzzy cycles and fuzzy trees, The Journal of Fuzzy Mathematics 10(1): 189-202, 2002.

  127. Fan, T.F, Liau, C.J. and Yao, Y.Y., On modal and fuzzy decision logics based on rough set theory, Fundamenta Informaticae 52(4): 323-344, 2002.

  128. Yao, Y.Y., Information granulation and rough set approximation, International Journal of Intelligent Systems 16(1): 87-104, 2001.

  129. Yao, Y.Y., Relational interpretations of neighborhood operators and rough set approximation operators, Information Sciences 111(1-4): 239-259, 1998.

  130. Yao, Y.Y., A comparative study of fuzzy sets and rough sets, Information Sciences 109(1-4): 227-242, 1998.

  131. Yao, Y.Y., Constructive and algebraic methods of the theory of rough sets, Information Sciences 109(1-4): 21-47, 1998. An extended abstract entitled ``Constructive and algebraic approaches for generalized rough set models'' appeared in Bulletin of International Rough Set Society 1(1): 22-29, 1997.

  132. Yao, Y.Y. and Lingras, P.J., Interpretations of belief functions in the theory of rough sets, Information Sciences 104(1-2): 81-106, 1998.

  133. Lingras, P.J. and Yao, Y.Y., Data mining using extensions of rough set model, Journal of the American Society for Information Science 49(5): 415-422, 1998.

  134. Yao, Y.Y., Two views of the theory of rough sets in finite universes, International Journal of Approximation Reasoning 15(4): 291-317, 1996.

  135. Yao, Y.Y. and Li, X., Comparison of rough-set and interval-set models for uncertain reasoning, Fundamenta Informaticae 27(2-3): 289-298, 1996.

  136. Yao, Y.Y. and Lin, T.Y., Generalization of rough sets using modal logic, Intelligent Automation and Soft Computing, An International Journal 2(2): 103-120, 1996.

  137. Wang, L.S., Wong, S.K.M., and Yao, Y.Y., On the completeness of incidence calculus, Journal of Automated Reasoning 16(3): 355-368, 1996.

  138. Yao, Y.Y., Measuring retrieval effectiveness based on user preference of documents, Journal of the American Society for Information Science 46(2): 133-145, 1995.

  139. Yao, Y.Y., Wong, S.K.M., and Wang, L.S., A non-numeric approach to uncertain reasoning, International Journal of General Systems 23(4): 343-359, 1995.

  140. Wong, S.K.M. and Yao, Y.Y., On modeling information retrieval with probabilistic inference, ACM Transactions on Information Systems 13(1): 38-68, 1995.

  141. Wong, S.K.M., Wang, L.S., and Yao, Y.Y., On modeling uncertainty with interval structures, Computational Intelligence 11(2): 406-426, 1995.

  142. Yao, Y.Y. and Wong, S.K.M., Representation, propagation and combination of uncertain information, International Journal of General Systems 23(1): 59-83, 1994.

  143. Wong, S.K.M. and Yao, Y.Y., A probabilistic method for computing term-by-term relationships, Journal of the American Society for Information Science 44(8): 431-439, 1993.

  144. Wong, S.K.M., Yao, Y.Y., and Lingras, P., Comparative beliefs and their measurements, International Journal of General Systems 22(1): 69-89, 1993.

  145. Bollmann-Sdorra, P., Wong, S.K.M., and Yao, Y.Y., A Measurement-theoretic axiomatization of fuzzy sets, Fuzzy Sets and Systems 60(3): 295-308, 1993.

  146. Yao, Y.Y. and Wong, S.K.M., A decision theoretic framework for approximating concepts, International Journal of Man-machine Studies 37(6): 793-809, 1992.

  147. Wong, S.K.M. and Yao, Y.Y., An information-theoretic measure of term specificity, Journal of the American Society for Information Science 43(1): 54-61, 1992.

  148. Wong, S.K.M., Bollmann, P., and Yao, Y.Y., Characterization of qualitative belief structures, International Journal of Man-Machine Studies 37(2): 123-133, 1992.

  149. Wong, S.K.M. and Yao, Y.Y., A probabilistic inference model for information retrieval, Information Systems 16(3): 301-321, 1991.

  150. Wong, S.K.M., Yao, Y.Y., Bollmann, P., and Burger, H.C., Axiomatization of qualitative belief structure, IEEE Transactions on Systems, Man, and Cybernetics 21(4): 726-734, 1991.

  151. Wong, S.K.M., Yao, Y.Y., Salton, G., and Buckley, C., Evaluation of an adaptive linear model, Journal of the American Society for Information Science 42(10): 723-730, 1991.

  152. Wong, S.K.M., Bollmann, P., and Yao, Y.Y., Information retrieval based on axiomatic decision theory, International Journal of General Systems 19(2): 101-117, 1991.

  153. Wong, S.K.M. and Yao, Y.Y., A generalized binary probabilistic independence model, Journal of the American Society for Information Science 41(5): 324-329, 1990.

  154. Wong, S.K.M. and Yao, Y.Y., Query formulation in linear retrieval models, Journal of the American Society for Information Science 41(5): 334-341, 1990.

  155. Wong, S.K.M. and Yao, Y.Y., A probability distribution model for information retrieval, Information Processing and Management 25(1): 39-53, 1989.

  156. Xing, A.Q., Chen, Z.H., Wang, C.L., and Yao, Y.Y., Exact penalty function approach to constrained optimal control problems, Optimal Control - Applications and Methods 10(2): 173-180, 1989.

next up previous
Next: Refereed conference papers Up: pub_list Previous: pub_list
Y. Yao 2021-04-17