A Novel Intelligent Multi-Attributes Decision-Making Approach Based on Generalized Neutrosophic Vague Hybrid Computing

Abstract

Neutrosophic vague hypersoft set (nVHs-set) is a novel hybrid model that is projected to address the limitations of existing fuzzy vague set-like structures for degree of indeterminacy and multi argument approximate function. This function maps the cartesian product of disjoint attribute valued sets to power set of initial universe. This study aims to characterize nVHs-set to tackle uncertainties more efficiently. Some essential properties and set-theoretic cum aggregation operations of nVHs-set are characterized by employing axiomatic and analytical approaches respectively and explained with the help of suitable examples. An algorithm is proposed based on aggregations of nVHs-set for dealing real-world decision-making issues and problems. The proposed algorithm is validated by its implementation in real-world decision-making problem for the optimal selection of farmhouse. Moreover advantageous aspects of proposed model are assessed with the help of evaluating features through comparison analysis.