Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information

The purpose of this study is to construct the multi-attribute group decision making (MAGDM) approach with linguistic Pythagorean fuzzy information (LPFI) based on generalized linguistic Pythagorean fuzzy aggregation operators (GLPFA). To begin with, we define the generalized indeterminacy degree-pre...

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Main Authors: Yi Liu, Ya Qin, Lei Xu, Hao-Bin Liu, Jun Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8854073/
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author Yi Liu
Ya Qin
Lei Xu
Hao-Bin Liu
Jun Liu
author_facet Yi Liu
Ya Qin
Lei Xu
Hao-Bin Liu
Jun Liu
author_sort Yi Liu
collection DOAJ
description The purpose of this study is to construct the multi-attribute group decision making (MAGDM) approach with linguistic Pythagorean fuzzy information (LPFI) based on generalized linguistic Pythagorean fuzzy aggregation operators (GLPFA). To begin with, we define the generalized indeterminacy degree-preference distance of linguistic Pythagorean fuzzy numbers (LPFNs), on the basis of it, we build a new approach for ranking the alternatives after analysing the existed comparison rule. In addition, we introduce the new version of t-norms (TNs) and t-conorms (TCs) named linguistic Pythagorean t-norms (LPTNs) and linguistic Pythagorean t-conorms (LPTCs), which can be used to handle the LPFI; some special cases for LPTNs and LPTCs are obtained and they can deal with Pythagorean fuzzy information (PFI). Thirdly, we introduce the generalized linguistic Pythagorean fuzzy average aggregation operator (GLPFAA) based on LPTN and LPTC along with their properties are also investigated, whilst, some special cases of GLPAA are obtained when LPTN and LPTC take some special TNs and TCs. Finally, a MAGDM approach based on some LPTNs and LPTCs is constructed to deal with some MAGDM problems with unknown attributes'weights and experts' weights, before building the MAGDM approach, we define new cross-entropy to fix the experts's weights and use the maximizing deviation to calculate the attributes' weights based on the proposed indeterminacy degree-preference distance. Consequently, an illustrative example is provided in order to show the effectiveness and advantages of the proposed method and some comparisons are also carried out.
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spelling doaj.art-cd786a9e59e348edb03cce25f67ec02a2022-12-21T19:51:56ZengIEEEIEEE Access2169-35362019-01-01714341214343010.1109/ACCESS.2019.29450058854073Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy InformationYi Liu0https://orcid.org/0000-0001-5304-235XYa Qin1Lei Xu2Hao-Bin Liu3Jun Liu4Data Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, ChinaSchool of Mathematics and Information Sciences, Neijiang Noraml University, Neijiang, ChinaData Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, ChinaData Recovery Key Laboratory of Sichuan Province, Neijiang Normal University, Neijiang, ChinaSchool of Computing, Ulster University at Jordanstown, Newtownabbey, U.K.The purpose of this study is to construct the multi-attribute group decision making (MAGDM) approach with linguistic Pythagorean fuzzy information (LPFI) based on generalized linguistic Pythagorean fuzzy aggregation operators (GLPFA). To begin with, we define the generalized indeterminacy degree-preference distance of linguistic Pythagorean fuzzy numbers (LPFNs), on the basis of it, we build a new approach for ranking the alternatives after analysing the existed comparison rule. In addition, we introduce the new version of t-norms (TNs) and t-conorms (TCs) named linguistic Pythagorean t-norms (LPTNs) and linguistic Pythagorean t-conorms (LPTCs), which can be used to handle the LPFI; some special cases for LPTNs and LPTCs are obtained and they can deal with Pythagorean fuzzy information (PFI). Thirdly, we introduce the generalized linguistic Pythagorean fuzzy average aggregation operator (GLPFAA) based on LPTN and LPTC along with their properties are also investigated, whilst, some special cases of GLPAA are obtained when LPTN and LPTC take some special TNs and TCs. Finally, a MAGDM approach based on some LPTNs and LPTCs is constructed to deal with some MAGDM problems with unknown attributes'weights and experts' weights, before building the MAGDM approach, we define new cross-entropy to fix the experts's weights and use the maximizing deviation to calculate the attributes' weights based on the proposed indeterminacy degree-preference distance. Consequently, an illustrative example is provided in order to show the effectiveness and advantages of the proposed method and some comparisons are also carried out.https://ieeexplore.ieee.org/document/8854073/Linguistic Pythagorean fuzzy set (LPFS)Linguistic Pythagorean t-norms (LPTNs)linguistic Pythagorean t-conorms (LPTCs)generalized linguistic Pythagorean aggregation operatorsgeneralized indeterminacy degree-preference distancegeneralized linguistic Pythagorean cross-entropy
spellingShingle Yi Liu
Ya Qin
Lei Xu
Hao-Bin Liu
Jun Liu
Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
IEEE Access
Linguistic Pythagorean fuzzy set (LPFS)
Linguistic Pythagorean t-norms (LPTNs)
linguistic Pythagorean t-conorms (LPTCs)
generalized linguistic Pythagorean aggregation operators
generalized indeterminacy degree-preference distance
generalized linguistic Pythagorean cross-entropy
title Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
title_full Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
title_fullStr Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
title_full_unstemmed Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
title_short Multiattribute Group Decision-Making Approach With Linguistic Pythagorean Fuzzy Information
title_sort multiattribute group decision making approach with linguistic pythagorean fuzzy information
topic Linguistic Pythagorean fuzzy set (LPFS)
Linguistic Pythagorean t-norms (LPTNs)
linguistic Pythagorean t-conorms (LPTCs)
generalized linguistic Pythagorean aggregation operators
generalized indeterminacy degree-preference distance
generalized linguistic Pythagorean cross-entropy
url https://ieeexplore.ieee.org/document/8854073/
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