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Dominance-Based Rough Set Approach and Bipolar Abstract Rough Approximation Spaces

2008
We take into consideration Dominance-based Rough Set Approach and its recently proposed algebraic modeling in terms of bipolar de Morgan Brower-Zadeh distributive lattice. On this basis we introduce the concept of bipolar approximation space and we show how it can be induced from a bipolar quasi Brower-Zadeh lattice.
Greco, Salvatore   +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
Krzysztof Dembczynski   +3 more
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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   +2 more
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An optimized method to calculate approximations in Dominance based Rough Set Approach

Applied Soft Computing, 2020
Abstract Classical Rough Set Theory (RST) is a prominent tool to deal with uncertainty of categorical data. However, it does not consider the preference order between the values of the attributes. Dominance Based Rough Set Approach (DRSA) provides dominance relation in this regard.
Aleena Ahmad   +2 more
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A Comprehensive Study on Reducts in Dominance-Based Rough Set Approach

2008
In this paper, we propose new reducts in the dominance-based rough set approach. The relations with previous ones are clarified. Moreover, a comprehensive enumeration method of all kinds of reducts is proposed. We show that all kinds of reducts are enumerated based on two discernibility matrices associated with generalized decisions.
Yoshifumi Kusunoki, Masahiro Inuiguchi
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Computationally Efficient Approximation Algorithm of Dominance Based Rough Set Approach

2020 22nd International Conference on Advanced Communication Technology (ICACT), 2020
Information systems contain preference ordered decision attributes now a day. To deal with them Dominance based Rough Set Approach (DRSA) is used. Two important concepts in DRSA are upper and lower approximations, both of them are computationally heavy algorithms. Reduction in its computational complexity helps in many advance applications of DRSA. Our
Aleena Ahmad   +2 more
openaire   +1 more source

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   +2 more
openaire   +3 more sources

Classification of vulnerable areas using Dominance-based Rough Set Approach

2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2016
The 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 José Jardim de Figueiredo   +2 more
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Dominance-Based Rough Set Approach for Decision Analysis - A Tutorial

2008
Scientific analysis of decision problems aims at giving the decision maker (DM) a recommendation concerning a set of objects (called also alternatives, solutions, acts, actions, cases, candidates) evaluated wiht respect to a plurality of their characteristics considered relevant for the problem at hand, and called attributes.
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Reducts and constructs in classic and dominance-based rough sets approach

Information Sciences, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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