Fuzzy Set based Multi-Attribute Decision-Making, its Computing Implementation and Application

Henrique Schuffner; Laura Cozzi; Mateus Ferreira; Petr Ekel; Gustavo Soares; Rafael Silva; Claudemir Souza; Anatoliy Bondarenko; Julia Chunyak¹

¹

Publication Date: 2022/07/25

Abstract: This paper reflects results of research related to the analysis of models of multi-attribute decisionmaking in a fuzzy domain (within the so-called models). These results can be used independently or within the framework of a general project of multicriteria decision making beneath conditions of uncertainty. The considered techniques for fuzzy preference modeling are directed at evaluating, comparing, choosing, prioritizing, and/or ordering alternatives. These techniques have served for developing a system for multi-attribute decision making MDMS2. It has been implemented in the C# programming language, utilizing the framework .NET. MDMS2 permits one to present preferences of decision makers in one of five preference formats. These formats as well as quantitative estimates are reduced to non-reciprocal fuzzy preference relations to provide homogeneous preference information for procedures of decision making. The paper results are of a general character and are illustrated by an example related to the problem of choosing an alternative of an energy source to be installed in an isolated system demonstrates the paper results

Keywords: fuzzy preference modeling; preference formats; non-reciprocal fuzzy preference relations; models; energy sources.

DOI: https://doi.org/10.5281/zenodo.6902308

PDF: https://ijirst.demo4.arinfotech.co/assets/upload/files/IJISRT22JUL055_(1).pdf

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