TOPSIS method based on correlation coefficient and entropy measure for linguistic Pythagorean fuzzy sets and its application to multiple attribute decision making
type: Item
instance of: scholarly article
title: TOPSIS method based on correlation coefficient and entropy measure for linguistic Pythagorean fuzzy sets and its application to multiple attribute decision making
zbMATH Open document ID: 1429.03176
DOI: 10.1155/2019/6967390
author: Mingwei Lin
author: Chao Huang
author: Zeshui Xu
published in: Complexity
publication date: 2019-11-25T00:00:00Z
review text: Summary: The linguistic Pythagorean fuzzy set (LPFS) is an important implement for modeling the uncertain and imprecise information. In this paper, a novel TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is proposed for LPFSs based on correlation coefficient and entropy measure. To this end, the correlation coefficient is proposed for the relationship measurement between LPFSs. Afterwards, two entropy measures are developed to calculate the attribute weight information. Then, a novel linguistic Pythagorean fuzzy TOPSIS (LPF-TOPSIS) method is proposed to solve multiple attribute decision-making problems. Finally, the LPF-TOPSIS method is applied to handle a case concerning the selection of firewall productions, and then, a case concerning the security evaluation of computer systems is given to conduct the comparative analysis between the proposed LPF-TOPSIS method and previous decision-making methods for validating the superiority of the proposed LPF-TOPSIS method.
Mathematics Subject Classification ID: 03E72
Mathematics Subject Classification ID: 91B06
Mathematics Subject Classification ID: 91B86
Mathematics Subject Classification ID: 94A17
zbMATH DE Number: 7136334
Wikidata QID: Q114070481
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2019/6967390
OpenAlex ID: W2982447614
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description: scientific article; zbMATH DE number 7136334