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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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Dominance-based Rough Set Approach to decision under uncertainty and time preference
Annals of Operations Research, 2009zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GRECO, Salvatore +2 more
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Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization
2008In this chapter, we present a new method for interactive multiobjective optimization, which is based on application of a logical preference model built using the Dominance-based Rough Set Approach (DRSA). The method is composed of two main stages that alternate in an interactive procedure.
GRECO, Salvatore +2 more
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Optimized Generalized Decision in Dominance-Based Rough Set Approach
2007Dominance-based Rough Set Approach (DRSA) has been proposed to deal with multi-criteria classification problems, where data may be inconsistent with respect to the dominance principle. However, in real-life datasets, in the presence of noise, the notions of lower and upper approximations handling inconsistencies were found to be excessively restrictive
DEMBCZYSKI K +3 more
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Interactive Evolutionary Multiobjective Optimization using Dominance-based Rough Set Approach
IEEE Congress on Evolutionary Computation, 2010We present basic ideas related to application of Dominance-based Rough Set Approach (DRSA) in 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 in the current population into “relatively good” and “
GRECO, Salvatore +2 more
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Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty
2014We consider decision under uncertainty where preference information provided by a Decision Maker (DM) is a classification of some reference acts, relatively well-known to the DM, described by outcomes to be gained with given probabilities. We structure the classification data using a variant of the Dominance-based Rough Set Approach.
Słowiński, Roman +2 more
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Classification of vulnerable areas using Dominance-based Rough Set Approach
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016The purpose of this paper is to present a multicriteria methodology with spatial visualization, in order to identify most vulnerable areas regarding violence. We used Dominance-based Rough Set Approach to aggregate social, economic, and demographic characteristics, as well to include the preferences of a decision maker. Among the multicriteria methods,
Ciro Jose Jardim de Figueiredo +2 more
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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 to Decision Involving Multiple Decision Makers
2006In 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 ...
Greco, Salvatore +2 more
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An Extended Dominance-Based Rough Set Approach to Group Decision
2007 International Conference on Wireless Communications, Networking and Mobile Computing, 2007In this paper we present a rough set approach to group decisions making. To deal with decision of multiple decision makers we extend dominance-based rough set by introducing specific concepts related to dominance with respect to minimal profiles of evaluations given by multiple decision makers.
Wen-Jie Bi, Xiao-Hong Chen
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