Ranking intuitionistic fuzzy sets with hypervolume-based approach: An application for multi-criteria assessment of energy alternatives

Kaan Deveci*, Önder Güler

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: Dergiye katkıMakalebilirkişi

10 Atıf (Scopus)

Özet

Ranking Intuitionistic Fuzzy Sets (IFS) using distance-based methods involves calculating the distance between an IFS and a reference point which represents either maximum (positive ideal solution) or minimum (negative ideal solution) value. These methods assume that similarity of an IFSs to the reference point increases as its distance from it decreases. While it is a common practice to use nonlinear distance functions for ranking IFSs, this paper proves that no nonlinear IF distance function can be robust. In this study, the shortcomings of the conventional procedure are demonstrated by providing a mathematical proof and an alternative ranking method based on the hypervolume metric is proposed. In addition, the suggested ranking approach is extended as a new multi-criteria decision making method called Hypervolume-based Evaluation and Ranking Technique (HEART). HEART is applied for multi-criteria assessment of Turkey's energy alternatives. Results are compared with three distance based multi-criteria decision making methods: TOPSIS, VIKOR, and CODAS.

Orijinal dilİngilizce
Makale numarası111038
DergiApplied Soft Computing
Hacim150
DOI'lar
Yayın durumuYayınlandı - Oca 2024

Bibliyografik not

Publisher Copyright:
© 2023 Elsevier B.V.

Finansman

This work was supported by the Istanbul Technical University under the grant number MDK-2021-43419. The authors express their gratitude for the financial support and resources provided. The author Kaan Deveci would also like to express his gratitude to The Scientific and Technological Research Council of Turkey ( TÜBİTAK ) for their partial support in conducting this research under 2211/A program.

FinansörlerFinansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Istanbul Teknik ÜniversitesiMDK-2021-43419

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