| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 393301 | Information Sciences | 2014 | 12 Pages |
Abstract
In this paper we propose two approaches to constructing divergence measures. The construction is based on the use of dissimilarity functions and fuzzy equivalencies. Firstly, we introduce some ways of generating dissimilarity functions. Then, we present several formulae of divergence measures. Finally, we examine the properties of divergence measures as a whole.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Yingfang Li, Keyun Qin, Xingxing He,