A New Method of Multi-Criteria Decision Making: Improved Criteria Weighting Method (ICWM)

This study aims to examine the strengths and weaknesses of AHP, SWARA, BWM, PIPRECIA and FUCOM, which are subjective criteria weighting methods, to reveal their advantages, and to develop an improved subjective criterion weighting procedure in this context. As a new method proposal, it is aimed to show the reliability of the method by giving application examples and comparison analyzes within the framework of ICWM (Improved Criteria Weighting Method). According to the analysis results, it was observed that the correlations between the criterion weights found with ICWM and the criterion weights found with AHP, SWARA, BWM, and FUCOM, which are considered reliable in the literature, were very strong. It has also been determined that ICWM provides advantages in terms of number of pairwise comparisons, consistency, and practicality.

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Publication Details

Journal
GAZI UNIVERSITY JOURNAL OF SCIENCE
Published
2026-04-14
DOI
https://doi.org/10.35378/gujs.1743733
Primary Topic
Multi-Criteria Decision Making
Type
article
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article

A New Method of Multi-Criteria Decision Making: Improved Criteria Weighting Method (ICWM)

İrfan YACAN, Halil Savaş
GAZI UNIVERSITY JOURNAL OF SCIENCE
Multi-Criteria Decision Making
article

A New Method of Multi-Criteria Decision Making: Improved Criteria Weighting Method (ICWM)

İrfan YACAN, Halil Savaş
article en

Abstract

This study aims to examine the strengths and weaknesses of AHP, SWARA, BWM, PIPRECIA and FUCOM, which are subjective criteria weighting methods, to reveal their advantages, and to develop an improved subjective criterion weighting procedure in this context. As a new method proposal, it is aimed to show the reliability of the method by giving application examples and comparison analyzes within the framework of ICWM (Improved Criteria Weighting Method). According to the analysis results, it was observed that the correlations between the criterion weights found with ICWM and the criterion weights found with AHP, SWARA, BWM, and FUCOM, which are considered reliable in the literature, were very strong. It has also been determined that ICWM provides advantages in terms of number of pairwise comparisons, consistency, and practicality.

GAZI UNIVERSITY JOURNAL OF SCIENCE(Advanced Online Publication)
Pamukkale University (TR)
Peace, Justice and strong institutions
Openalex Percentile: Top 12%
Multi-Criteria Decision Making
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