Fuzzy Hypersoft Expert Set with Application in Decision Making for the Best Selection of Product

Authors

  • Muhammad Ihsan University of Management and Technology
  • Atiqe Ur Rahman University of Management and Technology
  • Muhammad Saeed University of Management and Technology

Keywords:

Soft Set, Fuzzy Soft Set, Fuzzy Soft Expert Set, Hypersoft Set, Fuzzy Hypersoft Expert Set

Abstract

Numerous researchers have made a few models dependent on soft set, to tackle issues in decision making and clinical analysis, yet a large portion of these models manage one expert. This causes an issue with the clients, particularly with the individuals who use polls in their work and studies. Accordingly we present another model i.e. fuzzy hypersoft expert set which not just addresses this constraint of fuzzy soft-like models by accentuating the assessment, all things considered, yet additionally settle the deficiency of soft set for disjoint attribute-valued sets comparing to distinct attributes. In this study, the existing concept of fuzzy soft expert set is generalized to fuzzy hypersoft expert set which is more flexible and useful. Some fundamental properties (i.e. subset, not set and equal set), results (i.e. commutative, associative, distributive and D Morgan Laws) and set-theoretic operations (i.e. complement, union, intersection AND, and OR) are discussed. An algorithm is proposed to solve decision-making problems and is applied to select the best product.

Downloads

Download data is not yet available.

Downloads

Published

2021-11-01

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Ihsan, M. ., Rahman, A. U. ., & Saeed, M. . (2021). Fuzzy Hypersoft Expert Set with Application in Decision Making for the Best Selection of Product. Neutrosophic Sets and Systems, 46, 318-335. https://fs.unm.edu/nss8/index.php/111/article/view/1962

Most read articles by the same author(s)

1 2 > >>