Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2014, Issue 2, Pages 89–101 (Mi iipr350)  
Decision analysis

The set of Pareto efficiency criteria presented stochastic and fuzzy data

Yu. A. Zak
Full-text PDF (381 kB)
Abstract: We consider multi-criteria approach for comparison, ranking and selection of the most effective solutions among alternatives in situations where the performance criteria for each of these are functions of the random variable or fuzzy sets. The methods of Pareto set of performance criteria for the vector represented by the random variables or fuzzy sets, taking into account the degree of acceptable risk and preferences of experts and decision-maker.
Keywords: multi-objective optimization, stochastic efficiency criteria, fuzzy sets, the Pareto set, the comparison and ranking
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: Yu. A. Zak, “The set of Pareto efficiency criteria presented stochastic and fuzzy data”, Artificial Intelligence and Decision Making, 2014, no. 2, 89–101
Citation in format AMSBIB
\Bibitem{Zak14}
\by Yu.~A.~Zak
\paper The set of Pareto efficiency criteria presented stochastic and fuzzy data
\jour Artificial Intelligence and Decision Making
\yr 2014
\issue 2
\pages 89--101
\mathnet{http://mi.mathnet.ru/iipr350}
\elib{https://elibrary.ru/item.asp?id=21617695}
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  • https://www.mathnet.ru/eng/iipr/y2014/i2/p89
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