Results 141 to 150 of about 148,450 (186)

Several Reducts in Dominance-Based Rough Set Approach

2008
In 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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Bayesian Decision Theory for Dominance-Based Rough Set Approach

2007
Dominance-based Rough Set Approach (DRSA) has been proposed to generalize classical rough set approach when consideration of monotonicity between degrees of membership to considered concepts has to be taken into account. This is typical for data describing various phenomena, e.g., "the larger the mass and the smaller the distance, the larger the ...
GRECO, Salvatore, SLOWINSKI R, AND YAO Y.   +2 more
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A unified approach to reducts in dominance-based rough set approach

Soft Computing, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kusunoki, Yoshifumi, Inuiguchi, Masahiro
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Dominance-Based Rough Set Approach to Interactive Evolutionary Multiobjective Optimization

2010
We 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, MATARAZZO B, SLOWINSKI R.   +2 more
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Algebra and Topology for Dominance-Based Rough Set Approach

2010
Dominance-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, BENEDETTO MATARAZZO, ROMAN SLOWINSKI   +2 more
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Dominance-based Rough Set Approach to decision under uncertainty and time preference

Annals of Operations Research, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
GRECO, Salvatore, MATARAZZO B, SLOWINSKI R.   +2 more
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Dominance-Based Rough Set Approach to Interactive Multiobjective Optimization

2008
In 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, MATARAZZO B, SLOWINSKI R.   +2 more
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Optimized Generalized Decision in Dominance-Based Rough Set Approach

2007
Dominance-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, GRECO S, KOTOWSKI W, SLOWINSKI R   +3 more
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Interactive Evolutionary Multiobjective Optimization using Dominance-based Rough Set Approach

IEEE Congress on Evolutionary Computation, 2010
We 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, BENEDETTO MATARAZZO, ROMAN SLOWINSKI   +2 more
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Robust Ordinal Regression for Dominance-Based Rough Set Approach under Uncertainty

2014
We 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, Kadziński, Miłosz, Greco, Salvatore   +2 more
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