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Incomplete pythagorean fuzzy soft sets

AIP Conference Proceedings, 2020
There are several methods to solve decision making problem based on Pythagorean fuzzy soft sets (PFSS). If there is a case in which corresponding to some parameters we do not have any information regarding the universal set, then the existing decision making algorithms in literature fail to serve their purpose.
T. M. Athira   +2 more
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Pythagorean Fuzzy Soft Sets-Based MADM

2021
Modern set theory offers intelligent, unbiased, and comprehensive solutions to many problems faced by human beings in day-to-day life. Most of the extensively held problems from daily life involve uncertainties, imprecision, and vagueness. Fuzzy sets, introduced by Zadeh and soft sets, introduced by Molodstov are significant mathematical models to cope
Khalid Naeem, Muhammad Riaz
openaire   +1 more source

RETRACTED: A new fuzzy entropy on Pythagorean fuzzy sets

Journal of Intelligent & Fuzzy Systems, 2019
This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219434 .
Thao, Nguyen Xuan   +1 more
openaire   +1 more source

On Pythagorean and Complex Fuzzy Set Operations

IEEE Transactions on Fuzzy Systems, 2016
Complex fuzzy logic is a new multivalued logic system that has emerged in the last decade. At this time, there are a limited number of known instances of complex fuzzy logic, and only a partial exploration of their properties. There has also been relatively little progress in developing interpretations of complex-valued membership grades. In this paper,
Scott Dick   +2 more
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Constrained Pythagorean Fuzzy Sets and Its Similarity Measure

IEEE Transactions on Fuzzy Systems, 2022
Pythagorean fuzzy set (PFS) is an extension of the Intuitionistic fuzzy set (IFS). It has a more wider space of membership degrees. Thus, it is more capable of expressing and handling the fuzzy information in engineering practice and scientific research.
Lipeng Pan   +3 more
openaire   +1 more source

Extending Set Measures to Pythagorean Fuzzy Sets

International Journal of Fuzzy Systems, 2019
We introduce the idea of level sets which are crisp sets associated with a fuzzy set. We show how we can represent a fuzzy set using a collection of level sets; this allows us to extend set functions, such as probability and other set measures, to fuzzy subsets. We emphasize that this extension is itself a fuzzy subset.
openaire   +1 more source

Bitopological spaces in the context of pythagorean fuzzy set

Afrika Matematika, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +2 more sources

Group decision making based on entropy measure of Pythagorean fuzzy sets and Pythagorean fuzzy weighted arithmetic mean aggregation operator of Pythagorean fuzzy numbers

Information Sciences, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Kumar, Kamal, Chen, Shyi-Ming
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Multicriteria Scoring Methods Using Pythagorean Fuzzy Sets

2017
Scoring methods are one of the most used multicriteria decision making methods (MCDM) in the literature. Their simplicity and efficiency cause their frequently usage for the solution of multicriteria decision making problems. In this paper, we develop Pythagorean fuzzy scoring methods to be used under fuzziness.
Cengiz Kahraman   +2 more
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Soft rough Pythagorean m-polar fuzzy sets and Pythagorean m-polar fuzzy soft rough sets with application to decision-making

Computational and Applied Mathematics, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Muhammad Riaz, Masooma Raza Hashmi
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