Parameterization of multi-decisive hypersoft set under fuzzy environment with application in multi-attribute decision making

Fuzzy parameterized hypersoft expert set (FPHSE-set) is the generalisation of fuzzy parameterized soft expert set (FPSE-set). The FPHSE-set overcomes the shortcomings of FPSE-set for the examination of multi-argument approximate function. The FPHSE-set takes on the real-world situation where each attribute is actually supposed to be further categorised. Each category contains non matching sub-attribute valued disjoint set with the use of multi-argument approximate function. The FPHSE-set is more adaptable and dependable in the decision-support system with the comprehensive analysis of attributes. As a result, the primary goal of this paper is to describe how to characterise the FPHSE-set using set-theoretic, axiomatic, and algorithmic approaches. Two algorithms are suggested to investigate the proposed model?s function in decision-making while coping with a real-world event of computer system selection for a bank office in order to validate it. A comparative comparison between the suggested approach and a few relevant, current methods is used to assess the advantages of the proposed strategy.