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Journals / Sigma Mühendislik ve Fen Bilimleri Dergisi / 2021 / Cilt: 39 - Sayı: 2

A comparison of the performance of entropy measures for interval-valued intuitionistic fuzzy sets

Melda KOKOÇ
Süleyman ERSÖZ
Pages
131–147
Publication Date
2021-06-02
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In order to understand whether a variation of fuzziness degree of one or more elements of IVIFSs change the ranking results, selected IVIFSs are modified diversely.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Entropy measure is a significant tool to define unclear information.
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Key Findings & Data:The purpose of this study is to compare the performance of different entropy measures developed for IVIFSs.
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Conclusion & Impact:In order to understand whether a variation of fuzziness degree of one or more elements of IVIFSs change the ranking results, selected IVIFSs are modified diversely.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Entropy · interval-valued intuitionistic fuzzy sets · performance test

Abstract

Entropy measure is a significant tool to define unclear information. But, entropy measures for interval-valued intuitionistic fuzzy sets (IVIFSs) cannot be easily understood intuitively. So, it is highly important to compare the existing measures to select a reliable entropy measure in studies. The purpose of this study is to compare the performance of different entropy measures developed for IVIFSs. The numerical examples are presented to show whether entropy measures for IVIFSs are effective in representing the fuzziness degree. In order to understand whether a variation of fuzziness degree of one or more elements of IVIFSs change the ranking results, selected IVIFSs are modified diversely.

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Cite This Article

KOKOÇ, M., ERSÖZ, S. (2021). A comparison of the performance of entropy measures for interval-valued intuitionistic fuzzy sets. Sigma Mühendislik ve Fen Bilimleri Dergisi, Cilt: 39 - Sayı: 2, 131–147. https://ajindex.com/articles/419023

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