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Dominance-based Rough Set Approach Supporting Experts in Situation Assessment
2019 IEEE Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA), 2019Situation Awareness is the capability of understanding what is happening in order to make informed and correct decisions. The process for gaining good levels of Situation Awareness is defined as situation assessment. One of the main tasks of situation assessment is the identification of the situation.
Giuseppe D'Aniello, Matteo Gaeta
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Redefining preliminaries of dominance-based rough set approach
Soft Computing, 2022Faryal Nosheen +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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Dominance-Based Rough Set Approach to Granular Computing
2010Dominance-based Rough Set Approach (DRSA) was introduced as a generalization of the rough set approach for reasoning about preferences. While data describing preferences are ordinal by the nature of decision problems they concern, the ordering of data is also important in many other problems of data analysis.
GRECO, Salvatore +2 more
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A dominance-based rough set approach to Kansei Engineering in product development
Expert Systems with Applications, 2009Keen competitions in the global market have led product development to a more knowledge-intensive activity than ever, which requires not only tremendous expert knowledge but also effective analysis of design information. Kansei Engineering as a customer-oriented methodology for product development, often has to analyse imprecise design information ...
Lian-Yin Zhai +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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Dominance-Based Rough Set Approach to Reasoning About Ordinal Data
2007Dominance-based Rough Set Approach (DRSA) has been proposed by the authors to handle background knowledge about ordinal evaluations of objects from a universe, and about monotonic relationships between these evaluations, e.g. "the larger the mass and the smaller the distance, the larger the gravity" or "the greater the debt of a firm, the greater its ...
SLOWINSKI R +2 more
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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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Valued Dominance-Based Rough Set Approach to Incomplete Information System
2011In this paper, we present an explorative research focusing on dominance-based rough set approach to the incomplete information systems. In most of the rough set literatures, an incomplete information system indicates an information system with unknown values.
Xibei Yang, Huili Dou
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