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Cited by 366

The DOI matches its Crossref record; 21 of the 21 references it cites were found in a registry or an index.

Generalized Pythagorean Fuzzy Geometric Aggregation Operators Using Einstein t-Norm and t-Conorm for Multicriteria Decision-Making Process

Open access
Garg, Harish·2017·International Journal of Intelligent Systems

Abstract

The objective of this paper is to present some series of geometric-aggregated operators under Pythagorean fuzzy environment by relaxing the condition that the sum of the degree of membership functions is less than one with the square sum of the degree of membership functions is less than one. Under these environments, aggregator operators, namely, Pythagorean fuzzy Einstein weighted geometric, Pythagorean fuzzy Einstein ordered weighted geometric, generalized Pythagorean fuzzy Einstein weighted geometric, and generalized Pythagorean fuzzy Einstein ordered weighted geometric operators, are proposed in this paper. Some of its properties have also been investigated in details. Finally, an illustrative example for multicriteria decision-making problems of alternatives is taken to demonstrate the effectiveness of the approach.

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Metadata

Authors
Garg, H.
Venue
International Journal of Intelligent Systems
Published
2016-11-18
Volume
32
Issue
6
Pages
597-630
ISSN
0884-8173 (ISSN-L)
OpenAlex
W2549733045
Cited by
366
References
21
FWCI
50.36
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Generalized Pythagorean Fuzzy Geometric Aggregation Operators Using Einstein t-Norm and t-Conorm for Multicriteria Decision-Making Process. https://app.cochat.ai/papers/10.1002/int.21860
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Garg, H. (2017). Generalized Pythagorean Fuzzy Geometric Aggregation Operators Using Einstein t-Norm and t-Conorm for Multicriteria Decision-Making Process. International Journal of Intelligent Systems. https://doi.org/10.1002/int.21860

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