Open AccessEffective Fuzzy Soft Set Theory and Its Applications
Author(s) -
Shawkat Alkhazaleh
Publication year - 2022
Publication title -
applied computational intelligence and soft computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.371
H-Index - 10
eISSN - 1687-9732
pISSN - 1687-9724
DOI - 10.1155/2022/6469745
Subject(s) - soft set , computer science , parameterized complexity , fuzzy logic , set (abstract data type) , fuzzy set , soft computing , extension (predicate logic) , mathematical optimization , artificial intelligence , algorithm , mathematics , programming language
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.