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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2023 Issue 4, Pages 82–93 (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.

DOI: 10.14357/20718594230408



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© Steklov Math. Inst. of RAS, 2026