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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)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)On Topological Dominance-based Rough Set Approach., , and . Trans. Rough Sets, (2010)Data Envelopment Analysis models with imperfect knowledge of input and output values: An application to Portuguese public hospitals., , , and . Expert Syst. Appl., (November 2023)Multiple criteria hierarchy process for sorting problems based on ordinal regression with additive value functions., , , , and . Ann. Oper. Res., 251 (1-2): 117-139 (2017)Multiple Criteria Hierarchy Process in Robust Ordinal Regression., , and . Decis. Support Syst., 53 (3): 660-674 (2012)Dominance-based Rough Set Approach to decision under uncertainty and time preference., , and . Ann. Oper. Res., 176 (1): 41-75 (2010)Global investing risk: a case study of knowledge assessment via rough sets., , , and . Ann. Oper. Res., 185 (1): 105-138 (2011)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)Robustness analysis for decision under uncertainty with rule-based preference model., , and . Inf. Sci., (2016)