Determining ‎N‎ormalized Crisp Weights From Fuzzy Comparison Matrices Using an Improved Two-Stage Logarithmic Goal Programming Model

Two-stage logarithmic goal programming (TLGP) is one of the weighting technologies from fuzzy comparison matrices. But, it only present the interval weights at all alpha–cuts under each criterion when usage of the TLGP. In this paper, we improve this limitation of TLGP using an proposed index. Finally, the two real illustrative examples in literature are considered to show the verification of the proposed index.

Keywords:

Fuzzy Analytical Hierarchy Process , Alpha–cut , Multi criteria decision making , Optimization , fuzzy sets

Authors

امیر محمدقاسمی

Department of Management, Zabol Branch, Islamic Azad University, Zabol, ‎Iran‎.

عبدالله هادی ونچه

Department of Mathematics, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, ‎Iran‎.

Certificate
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لینک ثابت به این Paper:

https://civilica.com/doc/1886855

شناسه ملی سند علمی:

JR_IJIM-15-2_003

تاریخ نمایه سازی: 26 دی 1402

How to Cite to This Paper:

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محمدقاسمی, امیر and هادی ونچه, عبدالله,1402,Determining ‎N‎ormalized Crisp Weights From Fuzzy Comparison Matrices Using an Improved Two-Stage Logarithmic Goal Programming Model,https://civilica.com/doc/1886855

Scientometrics

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Ranking of Islamic Azad University of Zabol

Type of center: Azad University

Paper count: 682

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