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Artificial Intelligence and Decision Making, 2014, Issue 1, Pages 57–65
(Mi iipr358)
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This article is cited in 2 scientific papers (total in 2 papers)
Multi-criteria analysis
Algorithm for Pareto set reduction using fuzzy information on the DM preference relation
O. V. Baskov Saint Petersburg State University
Abstract:
A model of multicriteria choice including a set of possible variants, numerical vector criterion, and a fuzzy preference relation of a decision maker (DM) is considered. The problem of multicriteria choices is to select one or several variants from the Pareto set, i.e. to reduce this set. Axiomatic approach to this problem is adopted. In this paper, we consider an algorithm for reducing the Pareto set based on an arbitrary finite collection of fuzzy information quanta on the DM preference relation.
Keywords:
multicriteria choice, the Pareto set reduction, axiomatic approach, fuzzy logic
Citation:
O. V. Baskov, “Algorithm for Pareto set reduction using fuzzy information on the DM preference relation”, Artificial Intelligence and Decision Making, 2014, no. 1, 57–65; Scientific and Technical Information Processing, 42:5 (2015), 382–387
Linking options:
https://www.mathnet.ru/eng/iipr358 https://www.mathnet.ru/eng/iipr/y2014/i1/p57
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Abstract page: | 34 | Full-text PDF : | 18 | References: | 1 |
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