Neutrosophic Hypersoft Matrices with Application to Solve Multiattributive Decision-Making Problems
Author(s) -
Rana Muhammad Zulqarnain,
Imran Siddique,
Rifaqat Ali,
Fahd Jarad,
Abdul Samad,
Thabet Abdeljawad
Publication year - 2021
Publication title -
complexity
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.447
H-Index - 61
eISSN - 1099-0526
pISSN - 1076-2787
DOI - 10.1155/2021/5589874
Subject(s) - soft set , computer science , operator (biology) , parameterized complexity , set (abstract data type) , score , process (computing) , function (biology) , matrix (chemical analysis) , extension (predicate logic) , selection (genetic algorithm) , mathematical optimization , fuzzy logic , artificial intelligence , mathematics , algorithm , machine learning , biochemistry , chemistry , materials science , repressor , evolutionary biology , biology , transcription factor , composite material , gene , programming language , operating system
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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