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Fuzzy Similarity Relation as a Basis for Rough Approximations.

, , and . Rough Sets and Current Trends in Computing, volume 1424 of Lecture Notes in Computer Science, page 283-289. Springer, (1998)

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The Most Representative Utility Function for Non-Additive Robust Ordinal Regression., , and . IPMU, volume 6178 of Lecture Notes in Computer Science, page 220-229. Springer, (2010)Inducing Robust Decision Rules from Rough Approximations of a Preference Relation., and . ICAISC, volume 3070 of Lecture Notes in Computer Science, page 118-132. Springer, (2004)Dominance-Based Rough Set Approach to Interactive Evolutionary Multiobjective Optimization., , and . Preferences and Decisions, volume 257 of Studies in Fuzziness and Soft Computing, Springer, (2010)Axiomatic Foundations of the Universal Integral in Terms of Aggregation Functions and Preference Relations., , and . AGOP, volume 228 of Advances in Intelligent Systems and Computing, page 485-492. Springer, (2013)Multicriteria decision support using rules that represent rough-graded preference relations., , and . Eur. J. Oper. Res., 188 (1): 206-223 (2008)Possibility and necessity measure specification using modifiers for decision making under fuzziness., , , and . Fuzzy Sets Syst., 137 (1): 151-175 (2003)Putting Dominance-based Rough Set Approach and robust ordinal regression together., , and . Decis. Support Syst., 54 (2): 891-903 (2013)Dominance-based rough set approach: An application case study for setting speed limits for vehicles in speed controlled zones., , and . Knowl. Based Syst., (2015)Global investing risk: a case study of knowledge assessment via rough sets., , , and . Ann. Oper. Res., 185 (1): 105-138 (2011)09041 Working Group on MCDM for Robust Multiobjective Optimization (1st Round)., , , , , , , , , and 1 other author(s). Hybrid and Robust Approaches to Multiobjective Optimization, volume 09041 of Dagstuhl Seminar Proceedings, Schloss Dagstuhl - Leibniz-Zentrum für Informatik, Germany, (2009)