Application of fuzzy soft set in decision making problems based on grey theory

Authors:
Zhi Kong;Lifu Wang;Zhaoxia Wu
Affiliations:
-;-;-
Venue:
Journal of Computational and Applied Mathematics
Year:
2011

Citing 33
Cited 0

Introduction to Grey system theory

The Journal of Grey System
A fuzzy soft set theoretic approach to decision making problems

Journal of Computational and Applied Mathematics
Applying Grey Relational Analysis and Grey Decision-Making to evaluate the relationship between company attributes and its financial performance-A case study of venture capital enterprises in Taiwan

Decision Support Systems
Soft sets and soft groups

Information Sciences: an International Journal
Applications of soft sets in ideal theory of BCK/BCI-algebras

Information Sciences: an International Journal
Soft BCK/BCI-algebras

Computers & Mathematics with Applications
Soft semirings

Computers & Mathematics with Applications
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
Soft set theory applied to ideals in d-algebras

Computers & Mathematics with Applications
On some new operations in soft set theory

Computers & Mathematics with Applications
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
Vague soft sets and their properties

Computers & Mathematics with Applications
Generalised fuzzy soft sets

Computers & Mathematics with Applications
A fuzzy soft flood alarm model

Mathematics and Computers in Simulation
An adjustable approach to fuzzy soft set based decision making

Journal of Computational and Applied Mathematics
Exclusive disjunctive soft sets

Computers & Mathematics with Applications
Soft BL-algebras based on fuzzy sets

Computers & Mathematics with Applications
Extending soft sets with description logics

Computers & Mathematics with Applications
Fuzzy soft set theory applied to BCK/BCI-algebras

Computers & Mathematics with Applications
Soft matrix theory and its decision making

Computers & Mathematics with Applications
Soft sets and soft rings

Computers & Mathematics with Applications
Interval-valued intuitionistic fuzzy soft sets and their properties

Computers & Mathematics with Applications
Application of level soft sets in decision making based on interval-valued fuzzy soft sets

Computers & Mathematics with Applications
Soft set relations and functions

Computers & Mathematics with Applications
The bijective soft set with its operations

Computers & Mathematics with Applications
A soft set approach for association rules mining

Knowledge-Based Systems
Soft sets and soft rough sets

Information Sciences: an International Journal
Kernels and closures of soft set relations, and soft set relation mappings

Computers & Mathematics with Applications
Semantic decision making using ontology-based soft sets

Mathematical and Computer Modelling: An International Journal

Quantified Score

Hi-index	7.29

Visualization

Abstract

There are many uncertain problems in practical production and life which need decisions made with soft sets and fuzzy soft sets. However, the basis of evaluation of the decision method is single and simple, the same decision problem can obtain different results from using a different evaluation basis. In this paper, in order to obtain the right result, we discuss fuzzy soft set decision problems. A new algorithm based on grey relational analysis is presented. The evaluation bases of the new algorithm are multiple. There is more information in a decision result based on multiple evaluation bases, which is more easily accepted and logical to one's thinking. For the two cases examined, the results show that the new algorithm is efficient for solving decision problems.