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Some Results for Pythagorean Fuzzy Sets

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Peng, Xindong, Yang, Yong·2015·International Journal of Intelligent Systems

Abstract

Pythagorean fuzzy sets (PFSs), originally proposed by Yager (Yager, Abbasov. Int J Intell Syst 2013;28:436–452), are a new tool to deal with vagueness considering the membership grades are pairs satisfying the condition . As a generalized set, PFSs have close relationship with intuitionistic fuzzy sets (IFSs). PFSs can be reduced to IFSs satisfying the condition . However, the related operations of PFSs do not take different conditions into consideration. To better understand PFSs, we propose two operations: division and subtraction, and discuss their properties in detail. Then, based on Pythagorean fuzzy aggregation operators, their properties such as boundedness, idempotency, and monotonicity are investigated. Later, we develop a Pythagorean fuzzy superiority and inferiority ranking method to solve uncertainty multiple attribute group decision making problem. Finally, an illustrative example for evaluating the Internet stocks performance is given to verify the developed approach and to demonstrate its practicality and effectiveness.

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Metadata

Authors
Peng, X., & Yang, Y.
Venue
International Journal of Intelligent Systems
Published
2015-05-07
Volume
30
Issue
11
Pages
1133-1160
ISSN
0884-8173 (ISSN-L)
OpenAlex
W2104077967
Cited by
862
References
1
FWCI
61.93
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Some Results for Pythagorean Fuzzy Sets. https://app.cochat.ai/papers/10.1002/int.21738
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Peng, X., & Yang, Y. (2015). Some Results for Pythagorean Fuzzy Sets. International Journal of Intelligent Systems. https://doi.org/10.1002/int.21738

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