What question did this study set out to answer?

This research aims to enhance multicriteria decision-making by addressing incomplete information about criterion importance.

May 2, 2026

Designing Optimal Solutions in Multicriteria Problems with Interval Weights

Key Points

This research aims to enhance multicriteria decision-making by addressing incomplete information about criterion importance.
Proposes modifications to EDAS, COPRAS, and TOPSIS methods using interval weights.
Introduces fuzzy solutions for each modified method.
Analyzes selection problems for a steam boiler and an industrial robot.
Demonstrates improved decision-making accuracy with interval-weighted methods.
Shows practical applicability through examples involving steam boilers and industrial robots.

Abstract

This paper considers a multicriteria decision-making problem with incomplete information about the importance of the criteria. For such a problem, a modification of the EDAS, COPRAS, and TOPSIS methods with interval weights is proposed and the concept of a fuzzy EDAS solution, COPRAS solution, and TOPSIS solution is introduced. As an example, the problems of selecting a steam boiler and an industrial robot are considered.

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Cite This Study

Kudryavtsev et al. (Mon,) studied this question.

synapsesocial.com/papers/69f593f271405d493affec60 https://doi.org/https://doi.org/10.1134/s1054661825700907

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