Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making

In this paper, we introduce the notion of Einstein aggregation operators, such as the interval-valued Pythagorean fuzzy Einstein weighted averaging aggregation operator and the interval-valued Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. We also discuss some desirable...

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Main Authors: Rahman Khaista, Abdullah Saleem, Khan Muhammad Sajjad Ali
Format: Article
Language:English
Published: De Gruyter 2018-02-01
Series:Journal of Intelligent Systems
Subjects:
Online Access:https://doi.org/10.1515/jisys-2017-0212
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author Rahman Khaista
Abdullah Saleem
Khan Muhammad Sajjad Ali
author_facet Rahman Khaista
Abdullah Saleem
Khan Muhammad Sajjad Ali
author_sort Rahman Khaista
collection DOAJ
description In this paper, we introduce the notion of Einstein aggregation operators, such as the interval-valued Pythagorean fuzzy Einstein weighted averaging aggregation operator and the interval-valued Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. We also discuss some desirable properties, such as idempotency, boundedness, commutativity, and monotonicity. The main advantage of using the proposed operators is that these operators give a more complete view of the problem to the decision makers. These operators provide more accurate and precise results as compared the existing method. Finally, we apply these operators to deal with multiple-attribute group decision making under interval-valued Pythagorean fuzzy information. For this, we construct an algorithm for multiple-attribute group decision making. Lastly, we also construct a numerical example for multiple-attribute group decision making.
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spelling doaj.art-9072db652fda45609cfba986f7ced9e02022-12-21T21:27:41ZengDe GruyterJournal of Intelligent Systems0334-18602191-026X2018-02-0129139340810.1515/jisys-2017-0212Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision MakingRahman Khaista0Abdullah Saleem1Khan Muhammad Sajjad Ali2Department of Mathematics, Hazara University, Mansehra, KPK, PakistanDepartment of Mathematics, Abdul Wali Khan University, Mardan, KPK, PakistanDepartment of Mathematics, Hazara University, Mansehra, KPK, PakistanIn this paper, we introduce the notion of Einstein aggregation operators, such as the interval-valued Pythagorean fuzzy Einstein weighted averaging aggregation operator and the interval-valued Pythagorean fuzzy Einstein ordered weighted averaging aggregation operator. We also discuss some desirable properties, such as idempotency, boundedness, commutativity, and monotonicity. The main advantage of using the proposed operators is that these operators give a more complete view of the problem to the decision makers. These operators provide more accurate and precise results as compared the existing method. Finally, we apply these operators to deal with multiple-attribute group decision making under interval-valued Pythagorean fuzzy information. For this, we construct an algorithm for multiple-attribute group decision making. Lastly, we also construct a numerical example for multiple-attribute group decision making.https://doi.org/10.1515/jisys-2017-0212interval-valued pythagorean fuzzy einstein weighted averaging operatorinterval-valued pythagorean fuzzy einstein ordered weighted averaging operatorgroup decision making
spellingShingle Rahman Khaista
Abdullah Saleem
Khan Muhammad Sajjad Ali
Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
Journal of Intelligent Systems
interval-valued pythagorean fuzzy einstein weighted averaging operator
interval-valued pythagorean fuzzy einstein ordered weighted averaging operator
group decision making
title Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
title_full Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
title_fullStr Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
title_full_unstemmed Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
title_short Some Interval-Valued Pythagorean Fuzzy Einstein Weighted Averaging Aggregation Operators and Their Application to Group Decision Making
title_sort some interval valued pythagorean fuzzy einstein weighted averaging aggregation operators and their application to group decision making
topic interval-valued pythagorean fuzzy einstein weighted averaging operator
interval-valued pythagorean fuzzy einstein ordered weighted averaging operator
group decision making
url https://doi.org/10.1515/jisys-2017-0212
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