4.5 Article

Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems

Journal

COMPLEXITY
Volume 2021, Issue -, Pages -

Publisher

WILEY-HINDAWI
DOI: 10.1155/2021/5589874

Keywords

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Funding

  1. King Khalid University, Saudi Arabia [R.G.P. 1/162/42]

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The concept of the neutrosophic hypersoft set (NHSS) is a parameterized family that deals with subattributes of parameters and is an extension of the neutrosophic soft set. The follow-up study develops the theory of neutrosophic hypersoft matrix (NHSM) and introduces logical operators for NHSMs. The proposed decision-making methodology is validated through numerical illustration and comparative analysis with existing studies.
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.

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