Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework

The q-rung orthopair fuzzy sets and their hybrid models are capable of dealing with uncertain situations very effectively than the theories of intuitionistic and Pythagorean fuzzy sets and thus have numerous decision-making applications in daily life, while the fuzzy parameterized soft set theory ha...

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Autores principales:	Ghous Ali, Musavarah Sarwar
Formato:	article
Lenguaje:	EN
Publicado:	Hindawi Limited 2021
Materias:	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
Acceso en línea:	https://doaj.org/article/b39b2c08eb594c4b84bdfe8fa0d40d48
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spelling	oai:doaj.org-article:b39b2c08eb594c4b84bdfe8fa0d40d482021-11-08T02:35:24ZNovel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework1563-514710.1155/2021/5449403https://doaj.org/article/b39b2c08eb594c4b84bdfe8fa0d40d482021-01-01T00:00:00Zhttp://dx.doi.org/10.1155/2021/5449403https://doaj.org/toc/1563-5147The q-rung orthopair fuzzy sets and their hybrid models are capable of dealing with uncertain situations very effectively than the theories of intuitionistic and Pythagorean fuzzy sets and thus have numerous decision-making applications in daily life, while the fuzzy parameterized soft set theory has its impact on different decision-making scenarios. Motivated by these facts, in this research article, these theories are combined to form a new structure named fuzzy parameterized q-rung orthopair fuzzy soft expert sets (FPq ROFSESs) for dealing with more generalized information. The developed model is an efficient extension of fuzzy parameterized intuitionistic fuzzy soft expert sets. Some of its basic notions, including subset, complement, OR operation, AND operation, intersection, and union are studied and illustrated via examples. Moreover, to show the applicability and efficiency of the developed model, two real-life applications are solved under the FPq ROFSES approach, which is supported by an algorithm, the first application is about selecting an appropriate site for a cafe outlet, and the second application is about selecting the Best News Channel for an award. At last, a comparison of the initiated model with some existing approaches is presented to verify its advantages over them.Ghous AliMusavarah SarwarHindawi LimitedarticleEngineering (General). Civil engineering (General)TA1-2040MathematicsQA1-939ENMathematical Problems in Engineering, Vol 2021 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939
spellingShingle	Engineering (General). Civil engineering (General) TA1-2040 Mathematics QA1-939 Ghous Ali Musavarah Sarwar Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
description	The q-rung orthopair fuzzy sets and their hybrid models are capable of dealing with uncertain situations very effectively than the theories of intuitionistic and Pythagorean fuzzy sets and thus have numerous decision-making applications in daily life, while the fuzzy parameterized soft set theory has its impact on different decision-making scenarios. Motivated by these facts, in this research article, these theories are combined to form a new structure named fuzzy parameterized q-rung orthopair fuzzy soft expert sets (FPq ROFSESs) for dealing with more generalized information. The developed model is an efficient extension of fuzzy parameterized intuitionistic fuzzy soft expert sets. Some of its basic notions, including subset, complement, OR operation, AND operation, intersection, and union are studied and illustrated via examples. Moreover, to show the applicability and efficiency of the developed model, two real-life applications are solved under the FPq ROFSES approach, which is supported by an algorithm, the first application is about selecting an appropriate site for a cafe outlet, and the second application is about selecting the Best News Channel for an award. At last, a comparison of the initiated model with some existing approaches is presented to verify its advantages over them.
format	article
author	Ghous Ali Musavarah Sarwar
author_facet	Ghous Ali Musavarah Sarwar
author_sort	Ghous Ali
title	Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
title_short	Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
title_full	Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
title_fullStr	Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
title_full_unstemmed	Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework
title_sort	novel technique for group decision-making under fuzzy parameterized q-rung orthopair fuzzy soft expert framework
publisher	Hindawi Limited
publishDate	2021
url	https://doaj.org/article/b39b2c08eb594c4b84bdfe8fa0d40d48
work_keys_str_mv	AT ghousali noveltechniqueforgroupdecisionmakingunderfuzzyparameterizedqrungorthopairfuzzysoftexpertframework AT musavarahsarwar noveltechniqueforgroupdecisionmakingunderfuzzyparameterizedqrungorthopairfuzzysoftexpertframework
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Novel Technique for Group Decision-Making under Fuzzy Parameterized q-Rung Orthopair Fuzzy Soft Expert Framework

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