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 José Jardim de Figueiredo +2 more
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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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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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A Dynamic Dominance-Based Rough Set Approach for Processing Ordered Data
2019In real-world many information systems are varying over time. How to process efficiently dynamic data is a hot issue in data mining research field. Processing information with preference-ordered attribute domain is an important task in multi-criteria decision making.
Shaoyong Li, Zhiyong Hong
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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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Quantitative Dominance-Based Neighborhood Rough Sets via Fuzzy Preference Relations
IEEE Transactions on Fuzzy Systems, 2021Shuyun Yang +2 more
exaly
New Applications and Theoretical Foundations of the Dominance-based Rough Set Approach
2010Dominance-based Rough Set Approach (DRSA) has been proposed as an extension of the Pawlak's concept of Rough Sets in order to deal with ordinal data [see [2,3]]. Ordinal data are typically encountered in multi-attribute decision problems where a set of objects (also called actions, acts, solutions, etc.) evaluated by a set of attributes (also called ...
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Empirical risk minimization for dominance-based rough set approaches
Information Sciences, 2021Yoshifumi Kusunoki +2 more
exaly
A parallel rule-based approach to compute rough approximations of dominance based rough set theory
Engineering Applications of Artificial Intelligence, 2022Usman Qamar, Muhammad Summair Raza
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