Artificial Intelligence and Decision Making
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Artificial Intelligence and Decision Making, 2023, Issue 4, Pages 82–93
DOI: https://doi.org/10.14357/20718594230408
(Mi iipr50)
 

Optimal and rational choice

Multicriteria choice based on interval fuzzy information

V. D. Nogin

Saint Petersburg State University, Saint-Petersburg, Russia
Abstract: We consider a class of multicriteria choice problems in which the preferences of the decision maker are modeled by an interval type-2 fuzzy relation. The basic axioms of ‘reasonable’ choice are formulated. They, in particular, allow us to establish the Edgeworth-Pareto principle for this class of problems. The concept of a quantum of interval fuzzy information is introduced, as well as a consistent set of similar quanta. A criterion for the consistency of a set of quanta is formulated and a scheme for using quanta of interval fuzzy information to reduce the Pareto set is presented. An example is given to illustrate the proposed approach.
Keywords: multicriteria choice, interval fuzzy relation, quantum of interval fuzzy information, consistency of quanta.
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: V. D. Nogin, “Multicriteria choice based on interval fuzzy information”, Artificial Intelligence and Decision Making, 2023, no. 4, 82–93
Citation in format AMSBIB
\Bibitem{Nog23}
\by V.~D.~Nogin
\paper Multicriteria choice based on interval fuzzy information
\jour Artificial Intelligence and Decision Making
\yr 2023
\issue 4
\pages 82--93
\mathnet{http://mi.mathnet.ru/iipr50}
\crossref{https://doi.org/10.14357/20718594230408}
\elib{https://elibrary.ru/item.asp?id=56928421}
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