Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making

Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA) aggregation operator along with some of its prope...

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Main Authors: Rahman Khaista, Abdullah Saleem, Ali Asad, Amin Fazli
Format: Article
Language:English
Published: De Gruyter 2018-07-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2018-0071
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author Rahman Khaista
Abdullah Saleem
Ali Asad
Amin Fazli
author_facet Rahman Khaista
Abdullah Saleem
Ali Asad
Amin Fazli
author_sort Rahman Khaista
collection DOAJ
description Pythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA) aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this paper provides more accurate and precise results as compared to the existing operators. Therefore, this method plays a vital role in real-world problems. Finally, we applied the proposed operator and method to multiple-attribute group decision making.
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spelling doaj.art-2441e88910e14355ae8fb4f383c1e59f2022-12-21T21:28:05ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2018-07-0129173675210.1515/jisys-2018-0071Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision MakingRahman Khaista0Abdullah Saleem1Ali Asad2Amin Fazli3Department of Mathematics, Hazara University, Mansehra, KPK, PakistanDepartment of Mathematics, Abdul Wali Khan University, Mardan, KPK, PakistanDepartment of Mathematics, Hazara University, Mansehra, KPK, PakistanDepartment of Mathematics, Hazara University, Mansehra, KPK, PakistanPythagorean fuzzy set is one of the successful extensions of the intuitionistic fuzzy set for handling uncertainties in information. Under this environment, in this paper, we introduce the notion of Pythagorean fuzzy Einstein hybrid averaging (PFEHA) aggregation operator along with some of its properties, namely idempotency, boundedness, and monotonicity. PFEHA aggregation operator is the generalization of Pythagorean fuzzy Einstein weighted averaging aggregation operator and Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. The operator proposed in this paper provides more accurate and precise results as compared to the existing operators. Therefore, this method plays a vital role in real-world problems. Finally, we applied the proposed operator and method to multiple-attribute group decision making.https://doi.org/10.1515/jisys-2018-0071pythagorean fuzzy setpfeha aggregation operatormultiple-attribute group decision-making problem
spellingShingle Rahman Khaista
Abdullah Saleem
Ali Asad
Amin Fazli
Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
Journal of Intelligent Systems
pythagorean fuzzy set
pfeha aggregation operator
multiple-attribute group decision-making problem
title Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
title_full Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
title_fullStr Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
title_full_unstemmed Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
title_short Pythagorean Fuzzy Einstein Hybrid Averaging Aggregation Operator and its Application to Multiple-Attribute Group Decision Making
title_sort pythagorean fuzzy einstein hybrid averaging aggregation operator and its application to multiple attribute group decision making
topic pythagorean fuzzy set
pfeha aggregation operator
multiple-attribute group decision-making problem
url https://doi.org/10.1515/jisys-2018-0071
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