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Pareto Set Reduction Based on Information about Type Two Fuzzy Preference Relation. Algorithm Description

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Abstract

A multicriteria choice problem is considered in the case when the preferences of a decision maker are expressed using a type two fuzzy binary relation. A Pareto set reduction algorithm based on fuzzy quanta of information about the preferences of the decision maker is presented. An example of its application is also discussed.

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Funding

This work was financially supported by the Russian Foundation for Basic Research, project 20-07-00298a.

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Authors and Affiliations

  1. St. Petersburg State University, 199034, St. Petersburg, Russia

    O. V. Baskov

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  1. O. V. Baskov
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Correspondence to O. V. Baskov.

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Translated by S. Kuznetsov

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Baskov, O.V. Pareto Set Reduction Based on Information about Type Two Fuzzy Preference Relation. Algorithm Description. Sci. Tech. Inf. Proc. 50, 520–526 (2023). https://doi.org/10.3103/S0147688223060023

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