Maclaurin symmetric mean aggregation operators based on cubic Pythagorean linguistic fuzzy number

Aliya, Fahmi and Naveed, Yaqoob and Wathek, Chammam (2020) Maclaurin symmetric mean aggregation operators based on cubic Pythagorean linguistic fuzzy number. Journal of Ambient Intelligence and Humanized Computing: 12652. pp. 1-18. ISSN 1868-5145 / 1868-5137

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Abstract

The Maclaurin symmetric mean (MSM) and dual Maclaurin symmetric mean (DMSM) operators are two aggregation
operators to aggregate the cubic Pythagorean linguistic fuzzy number. The cubic Pythagorean linguistic fuzzy structure
is more real to designate fuzzy data in real decision-making problems. The cubic Pythagorean linguistic fuzzy number is
more superior and difficult information in the environment of the fuzzy set theory. We describe the score and accuracy function
of CPLFN. We define some aggregation operators, including the CPLFAA, CGPLFAA, CPLFGA, CPLFMSM, and
CPLFWMSM operators. We present some operators, with the CPLFDWMSMA, CPLFDOWMSMA, CPLFDHWMSMA,
CPLFDWMSMG, CPLFDOWMSMG and CPLFDHWMSMG operators. Moreover, some properties and special cases of
our proposed methods are also introduced. Then we present multi-attributive group decision-making based on proposed
methods. Further, a numerical example is provided to illustrate the flexibility and accuracy of the proposed operators. Last,
the proposed methods are compared with existing methods to examine the best developing skill initiatives.

Item Type:	Article
Uncontrolled Keywords:	Cubic Pythagorean fuzzy set · CPLFDWMSMA operator · CPLFDOWMSMA operator · CPLFDHWMSMA operator · MCDM
Subjects:	Q Science > QA Mathematics
Divisions:	Faculty of Engineering and Applied Sciences (FEAS) > Department of Basic Sciences Islamabad
Depositing User:	Dr Naveed Yaqoob
Date Deposited:	01 Feb 2021 06:32
Last Modified:	01 Feb 2021 06:32
URI:	http://research.riphah.edu.pk/id/eprint/1036

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