An Innovative Algorithm for Cluster-Based Decision Support System Using the Fuzzy Soft Set Approach

Hard sets and soft sets must be adopted for several unknown logistical problems. This paper seeks to solve the cluster-based decision-making dilemma effectively based on fumigated soft environments. First of all, we are introducing an adjustable approach to resolution of decisions focused on fuzzy s...

Full description

Saved in:
Bibliographic Details
Published in:Journal of physics. Conference series 2021-07, Vol.1964 (4), p.42102
Main Authors: Jayagowri, P, Arockiaraj, S, Karthik, R
Format: Article
Language:English
Subjects:
Algorithms
cluster-based decision
Clusters
Decision analysis
Decision making
decision support system
Decision support systems
Fuzzy sets
fuzzy soft set
Sensitivity analysis
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Hard sets and soft sets must be adopted for several unknown logistical problems. This paper seeks to solve the cluster-based decision-making dilemma effectively based on fumigated soft environments. First of all, we are introducing an adjustable approach to resolution of decisions focused on fuzzy soft solutions. Then, the information and the degree of divergence dependent on a-similarity are introduced to determine the weights of the experts. In addition, with uncertain expert weights, we can create an effective cluster-based decision-making strategy. Finally, sensitivity analysis and comparative analysis was conducted with other established approaches.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1964/4/042102