A fuzzy soft set theoretic approach to decision making problems
Journal of Computational and Applied Mathematics
Data analysis approaches of soft sets under incomplete information
Knowledge-Based Systems
The normal parameter reduction of soft sets and its algorithm
Computers & Mathematics with Applications
Letter to the editor: Comment on "A fuzzy soft set theoretic approach to decision making problems"
Journal of Computational and Applied Mathematics
A combined forecasting approach based on fuzzy soft sets
Journal of Computational and Applied Mathematics
Combination of interval-valued fuzzy set and soft set
Computers & Mathematics with Applications
The parameterization reduction of soft sets and its applications
Computers & Mathematics with Applications
An adjustable approach to fuzzy soft set based decision making
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics
Application of level soft sets in decision making based on interval-valued fuzzy soft sets
Computers & Mathematics with Applications
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There are mainly two approaches applying soft set theory to decision making problems, namely, choice value based approach and comparison score based approach. Based on the analysis of these approaches, the main objective of this paper is to propose some improved algorithms which require relatively fewer calculations compared with the existing algorithms. In addition, it has been pointed out that the choice value based approach and comparison score based approach are equivalent for crisp soft set based decision making problems.