Rough Sets: Theoretical Aspects of Reasoning about Data
Rough Sets: Theoretical Aspects of Reasoning about Data
A Multicriteria Fuzzy System Using Residuated Implication Operators and Fuzzy Arithmetic
MDAI '07 Proceedings of the 4th international conference on Modeling Decisions for Artificial Intelligence
Knowledge discovery about preferences using the dominance-based rough set approach
RSKT'10 Proceedings of the 5th international conference on Rough set and knowledge technology
Analyzing IT business values - A Dominance based Rough Sets Approach perspective
Expert Systems with Applications: An International Journal
RSKT'11 Proceedings of the 6th international conference on Rough sets and knowledge technology
Dominance-based rough set approach for groups in multicriteria classification problems
Decision Support Systems
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In this paper we present a rough set approach to decisions with multiple decision makers. Since preference order is a crucial feature of data concerning decision situations, and classical rough set approach is not able to deal with it, we are using Dominance-based Rough Set Approach (DRSA) where indiscernibility relation of the classical approach has been substituted by dominance relation. To deal with decision of multiple decision makers we extend DRSA by introducing specific concepts related to dominance with respect to minimal profiles of evaluations given by multiple decision makers. This extension provides also a general methodology for rough approximations of partial preorders.