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A New Kind of Generalized Pythagorean Fuzzy Soft Set and Its Application in Decision-Making

by Xiaoyan Wang1, Ahmed Mostafa Khalil2,*

1 College of Big Data, Huanghai University, Qingdao, China
2 Department of Mathematics, Faculty of Science, Al-Azhar University, Assiut, 71524, Egypt

* Corresponding Author: Ahmed Mostafa Khalil. Email: email

(This article belongs to the Special Issue: Decision making Modeling, Methods and Applications of Advanced Fuzzy Theory in Engineering and Science)

Computer Modeling in Engineering & Sciences 2023, 136(3), 2861-2871. https://doi.org/10.32604/cmes.2023.026021

Abstract

The aim of this paper is to introduce the concept of a generalized Pythagorean fuzzy soft set (GPFSS), which is a combination of the generalized fuzzy soft sets and Pythagorean fuzzy sets. Several of important operations of GPFSS including complement, restricted union, and extended intersection are discussed. The basic properties of GPFSS are presented. Further, an algorithm of GPFSSs is given to solve the fuzzy soft decision-making. Finally, a comparative analysis between the GPFSS approach and some existing approaches is provided to show their reliability over them.

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APA Style
Wang, X., Khalil, A.M. (2023). A new kind of generalized pythagorean fuzzy soft set and its application in decision-making. Computer Modeling in Engineering & Sciences, 136(3), 2861-2871. https://doi.org/10.32604/cmes.2023.026021
Vancouver Style
Wang X, Khalil AM. A new kind of generalized pythagorean fuzzy soft set and its application in decision-making. Comput Model Eng Sci. 2023;136(3):2861-2871 https://doi.org/10.32604/cmes.2023.026021
IEEE Style
X. Wang and A. M. Khalil, “A New Kind of Generalized Pythagorean Fuzzy Soft Set and Its Application in Decision-Making,” Comput. Model. Eng. Sci., vol. 136, no. 3, pp. 2861-2871, 2023. https://doi.org/10.32604/cmes.2023.026021



cc Copyright © 2023 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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