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Multi-factorial risk assessment: An approach based on fuzzy preference relations.

, , , and . Fuzzy Sets and Systems, (2015)

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Multi-factorial risk assessment: An approach based on fuzzy preference relations., , , and . Fuzzy Sets and Systems, (2015)Applications of finite interval-valued hesitant fuzzy preference relations in group decision making., , , , and . Inf. Sci., (2016)The scorix: A popular representation of votes revisited., , and . Int. J. Approx. Reasoning, (2016)Monometrics and their role in the rationalisation of ranking rules., , and . Information Fusion, (2017)Joint consensus evaluation of multiple objects on an ordinal scale: An approach driven by monotonicity., , and . Information Fusion, (2018)Penalty-Based Aggregation of Strings., and . AGOP, volume 981 of Advances in Intelligent Systems and Computing, page 212-222. Springer, (2019)Adding feasibility constraints to a ranking rule under a monotonicity constraint., , , , and . IFSA-EUSFLAT, Atlantis Press, (2015)The Dominance, Covering and Supercovering Relations in the Context of Multiple Partially Specified Reciprocal Relations., , , and . IFSA/NAFIPS, volume 1000 of Advances in Intelligent Systems and Computing, page 483-492. Springer, (2019)The role of betweenness relations, monometrics and penalty functions in data aggregation., and . IFSA-SCIS, page 1-6. IEEE, (2017)Combining Absolute and Relative Information in Studies on Food Quality., , and . IPMU (2), volume 854 of Communications in Computer and Information Science, page 379-388. Springer, (2018)