Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
469553 | Computers & Mathematics with Applications | 2009 | 7 Pages |
Abstract
The soft set theory, proposed by Molodtsov, can be used as a general mathematical tool for dealing with uncertainty. By combining the interval-valued fuzzy set and soft set models, the purpose of this paper is to introduce the concept of the interval-valued fuzzy soft set. The complement, “AND” and “OR” operations are defined on the interval-valued fuzzy soft sets. The DeMorgan’s, associative and distribution laws of the interval-valued fuzzy soft sets are then proved. Finally, a decision problem is analyzed by the interval-valued fuzzy soft set. Some numerical examples are employed to substantiate the conceptual arguments.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Xibei Yang, Tsau Young Lin, Jingyu Yang, Yan Li, Dongjun Yu,