Effective Fuzzy Soft Set Theory and Its Applications

Fuzzy soft set is the most powerful and effective extension of soft sets which deals with parameterized values of the alternative. It is an extended model of soft set and a new mathematical tool that has great advantages in dealing with uncertain information and is proposed by combining soft sets an...

Full description

Saved in:
Bibliographic Details
Published in:Applied computational intelligence and soft computing 2022-04, Vol.2022, p.1-12
Main Author: Alkhazaleh, Shawkat
Format: Article
Language:English
Subjects:
Algorithms
Approximation
Decision making
Decision theory
Fuzzy set theory
Fuzzy sets
Set theory
Similarity measures
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Fuzzy soft set is the most powerful and effective extension of soft sets which deals with parameterized values of the alternative. It is an extended model of soft set and a new mathematical tool that has great advantages in dealing with uncertain information and is proposed by combining soft sets and fuzzy sets. Many fuzzy decision making algorithms based on fuzzy soft sets were given. However, these do not consider the external effective on the decision it depends on the parameters without considering any external effective. In order to solve these problems, in this paper, we introduce the concept of effective fuzzy soft set and its operation and study some of its properties. We also give an application of this concept in decision making (DM) problem. Finally, we give an application of this theory to medical diagnosis (MD) and exhibit the technique with a hypothetical case study.
ISSN:1687-9724
1687-9732
DOI:10.1155/2022/6469745