| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 395929 | Information Sciences | 2008 | 8 Pages |
Abstract
A new nonprobabilistic entropy of a vague set is proposed by means of the intersection and union of the membership degree and nonmembership degree of the vague set. The concept called vague cross-entropy of vague sets will also be discussed and its definition is given by analogy with the cross-entropy of probability distributions. Finally, two numeric examples are presented to illustrate the applications of vague cross-entropy to pattern recognition and medical diagnosis.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Qian-Sheng Zhang, Sheng-Yi Jiang,