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Dominance-Based Rough Set Approach for Possibilistic Information Systems
2011In this paper, we propose a dominance-based fuzzy rough set approach for the decision analysis of a preference-ordered possibilistic information systems, which is comprised of a finite set of objects described by a finite set of criteria. The domains of the criteria may have ordinal properties that express preference scales.
Tuan-Fang Fan +2 more
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Dominance-Based Rough Set Approach as a Proper Way of Handling Graduality in Rough Set Theory
2007Referring to some ideas of Leibniz, Frege, Boole and Łukasie-wicz, we represent fundamental concepts of rough set theory in terms of a generalization that permits to deal with the graduality of fuzzy sets. Our conjunction of rough sets and fuzzy sets is made using the Dominance-based Rough Set Approach (DRSA).
GRECO S, MATARAZZO B., SLOWINSKI R
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A Dominance-based Rough Set Approach to customer behavior in the airline market
Information Sciences, 2010Market segmentation is a crucial activity in the present business environment. Data mining is a useful tool for identifying customer behavior patterns in large amounts of data. This information can then be used to help with decision-making in areas such as the airline market.
James J. H. Liou, Gwo-Hshiung Tzeng
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Dominance-based rough set approach to incomplete fuzzy information system
2008 IEEE International Conference on Granular Computing, 2008Although many extended rough set models have been successfully applied into the incomplete information system, most of them do not take the incomplete information system with initial fuzzy data into account. This paper thus presents a general framework for the study of dominance-based rough set model in the incomplete fuzzy information systems.
Lihua Wei +3 more
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Dominance-Based Rough Set Approach Using Possibility and Necessity Measures
2002Dominance-based rough set approach is an extension of the basic rough set approach proposed by Pawlak, to multicriteria classification problems. In this paper, the dominance-based rough set approach is considered in the context of vague information on preferences and decision classes.
GRECO, Salvatore +2 more
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Algebra and Topology for Dominance-Based Rough Set Approach
2010Dominance-based rough sets generalize classical indiscernibility based rough sets by handling ordered value sets of attributes and monotonic relationships between values of condition and decision attributes. Dominance based rough sets permit, in particular, a natural hybridization of fuzziness and roughness, which are complementary concepts of ...
GRECO, Salvatore +2 more
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Several Reducts in Dominance-Based Rough Set Approach
2008In this paper, we investigate reducts preserving a structure induced from dominance-based rough sets as well as a structure from variable-precision dominance-based rough sets. It is shown that three kinds of reducts are obtained in the dominance-based rough set approach.
Masahiro Inuiguchi, Yukihiro Yoshioka
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Redefining preliminaries of dominance-based rough set approach
Soft Computing, 2022Faryal Nosheen +2 more
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Dominance-Based Rough Set Approach to Interactive Evolutionary Multiobjective Optimization
2010We present application of Dominance-based Rough Set Approach (DRSA) to interactive Evolutionary Multiobjective Optimization (EMO). In the proposed methodology, the preference information elicited by the decision maker in successive iterations consists in sorting some solutions of the current population as “good” or “bad”, or in comparing some pairs of ...
GRECO, Salvatore +2 more
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A Multi-granulation Model under Dominance-Based Rough Set Approach
2012Multi-granulation rough set is a generalization of Rough Set Theory (RST) in order to adapt to cases that there are multiple relations in the universe. To allow Dominance-based Rough Set Approach (DRSA) being applied in multiple relations cases, we propose a multi-granulation model based on DRSA.
Shaoyong Li +2 more
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