To read this content please select one of the options below:

An intelligent multiple-criteria decision-making approach based on sv-neutrosophic hypersoft set with possibility degree setting for investment selection

Jingfeng Zhao (College of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, China)
Bo Li (College of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou, China)
Atiqe Ur Rahman (Department of Mathematics, University of Management and Technology, Lahore, Pakistan)
Muhammad Saeed (Department of Mathematics, University of Management and Technology, Lahore, Pakistan)

Management Decision

ISSN: 0025-1747

Article publication date: 31 May 2022

Issue publication date: 16 March 2023

143

Abstract

Purpose

The main purpose of this article is to characterize a novel neutrosophic hypersoft set hybrid called possibility single-valued neutrosophic hypersoft set (psv-NHSS) for evaluation of investment projects by using its aggregation operations and decision-support system.

Design/methodology/approach

Two approaches are employed in this article: set-theoretic approach and algorithmic approach. The former one is used to characterize the novel notion of psv-NHSS and its aggregations. The later one is used to construct a decision-support system by using the aggregations like core matrix, maximum-valued decision, minimum-valued decision and scoring-valued decision of psv-NHSS. The adopted algorithm is implemented in real-world scenario of hydroelectric power station project evaluation for investment purpose.

Findings

The proposed model is more flexible and reliable as it addresses the limitations of literature on neutrosophic set, neutrosophic soft set and other fuzzy set-like models by considering possibility degree, hypersoft setting and neutrosophic setting collectively.

Research limitations/implications

It has limitations for decision-making situations where selection of parameters is of uncertain nature.

Practical implications

The scope of this study may cover a wide range of applications in many fields of mathematical sciences like artificial intelligence, optimization, multiple-criteria decision-making (MCDM), theoretical computer science, soft computing, mathematical statistics, etc.

Originality/value

The proposed model bears the characteristics of most of the relevant existing models collectively and fulfills their insufficiencies by introducing a novel approximate mapping.

Keywords

Acknowledgements

Conflict of interest: The authors declare no conflict of interest.

Citation

Zhao, J., Li, B., Rahman, A.U. and Saeed, M. (2023), "An intelligent multiple-criteria decision-making approach based on sv-neutrosophic hypersoft set with possibility degree setting for investment selection", Management Decision, Vol. 61 No. 2, pp. 472-485. https://doi.org/10.1108/MD-04-2022-0462

Publisher

:

Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

Related articles