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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.
Citation:
V. D. Nogin, “Multicriteria choice based on interval fuzzy information”, Artificial Intelligence and Decision Making, 2023, no. 4, 82–93
Linking options:
https://www.mathnet.ru/eng/iipr50 https://www.mathnet.ru/eng/iipr/y2023/i4/p82
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Abstract page: | 27 | First page: | 2 |
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