Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
394369 | Information Sciences | 2013 | 15 Pages |
Abstract
Soft set theory offers a general mathematical tool for dealing with uncertain, fuzzy, not clearly defined objects. A vague soft set is a combination of a vague set and a soft set. In this paper, we introduce axiomatic definitions of entropy, similarity measure and distance measure for vague soft sets, and some formulas have also been put forward to calculate them. Furthermore, 13 theorems are proposed showing how the entropy, the similarity measure and the distance measure for vague soft sets can be deduced from each other. Some formulas have also been put forward to calculate the entropy, the similarity measure and the distance measure of vague soft sets by these relations.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Chang Wang, Anjing Qu,