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Neutrosophic Hypersoft Matrices With Application To Solve Multiattributive Decision-Making Problems

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Date

2021

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Wiley-hindawi

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GOLD

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Abstract

The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with the subattributes of the parameters and is a proper extension of the neutrosophic soft set to accurately assess the deficiencies, anxiety, and uncertainty in decision-making. Compared with existing research, NHSS can accommodate more uncertainty, which is the most significant technique for describing fuzzy information in the decision-making process. The main objective of the follow-up study is to develop the theory of neutrosophic hypersoft matrix (NHSM). The NHSM is the generalized form of a neutrosophic soft matrix (NSM). Some fundamental operations and score function for NHSMs have been introduced with their desirable properties. Furthermore, we introduce the logical operators such as OR-operator and AND-operator with their fundamental properties in the following research. The necessity and possibility operations for NHSMs have been established. Utilizing the developed score function, a decision-making methodology has been developed to solve the multiattribute decision-making (MADM) problem. To ensure the validity of the proposed approach, a numerical illustration has been described for the selection of competent faculty member. The practicality and effectiveness of the current approach are proved through comparative analysis with the assistance of some existing studies.

Description

Zulqarnain, Rana Muhammad/0000-0002-2656-8679; Samad, Abdul/0000-0002-0887-9860; Abdeljawad, Thabet/0000-0002-8889-3768

Keywords

Composite material, Intuitionistic Fuzzy Sets, Artificial intelligence, Matrix (chemical analysis), Social Sciences, Group Decision Making, Set (abstract data type), Evolutionary biology, Management Science and Operations Research, Multi-Criteria Decision Making, Operator (biology), Biochemistry, Gene, Decision Sciences, Soft set, Selection (genetic algorithm), Fuzzy Logic and Residuated Lattices, Machine learning, FOS: Mathematics, Multi-criteria Decision Making, Biology, Extension (predicate logic), Mathematical optimization, Application of Soft Set Theory in Decision Making, Score, QA75.5-76.95, Computer science, Materials science, Process (computing), Programming language, Fuzzy logic, Algorithm, Parameterized complexity, Chemistry, Operating system, Computational Theory and Mathematics, Function (biology), Electronic computers. Computer science, Computer Science, Physical Sciences, Soft Set Theory, Repressor, Transcription factor, Mathematics, Decision-making

Turkish CoHE Thesis Center URL

Fields of Science

02 engineering and technology, 0202 electrical engineering, electronic engineering, information engineering

Citation

Zulqarnain, Rana Muhammad...et al. (2021). "Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems", Complexity, Vol. 2021.

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Q2

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OpenCitations Citation Count
14

Source

Complexity

Volume

2021

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Citations

CrossRef : 13

Scopus : 28

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Mendeley Readers : 8

SCOPUS™ Citations

28

checked on Feb 03, 2026

Web of Science™ Citations

14

checked on Feb 03, 2026

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1

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3.32182616

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