TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making

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 meas...

Full description

Saved in:
Bibliographic Details
Main Authors: Mingwei Lin, Chao Huang, Zeshui Xu
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/6967390
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1850237642309894144
author Mingwei Lin
Chao Huang
Zeshui Xu
author_facet Mingwei Lin
Chao Huang
Zeshui Xu
author_sort Mingwei Lin
collection DOAJ
description 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.
format Article
id doaj-art-1c88a4c9401744eeb71ccf7f7e5feec4
institution OA Journals
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-1c88a4c9401744eeb71ccf7f7e5feec42025-08-20T02:01:42ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/69673906967390TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision MakingMingwei Lin0Chao Huang1Zeshui Xu2College of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian 350117, ChinaCollege of Mathematics and Informatics, Fujian Normal University, Fuzhou, Fujian 350117, ChinaBusiness School, Sichuan University, Chengdu, Sichuan 610064, ChinaThe 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.http://dx.doi.org/10.1155/2019/6967390
spellingShingle Mingwei Lin
Chao Huang
Zeshui Xu
TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
Complexity
title TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
title_full TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
title_fullStr TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
title_full_unstemmed TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
title_short TOPSIS Method Based on Correlation Coefficient and Entropy Measure for Linguistic Pythagorean Fuzzy Sets and Its Application to Multiple Attribute Decision Making
title_sort topsis method based on correlation coefficient and entropy measure for linguistic pythagorean fuzzy sets and its application to multiple attribute decision making
url http://dx.doi.org/10.1155/2019/6967390
work_keys_str_mv AT mingweilin topsismethodbasedoncorrelationcoefficientandentropymeasureforlinguisticpythagoreanfuzzysetsanditsapplicationtomultipleattributedecisionmaking
AT chaohuang topsismethodbasedoncorrelationcoefficientandentropymeasureforlinguisticpythagoreanfuzzysetsanditsapplicationtomultipleattributedecisionmaking
AT zeshuixu topsismethodbasedoncorrelationcoefficientandentropymeasureforlinguisticpythagoreanfuzzysetsanditsapplicationtomultipleattributedecisionmaking