| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 4943786 | Fuzzy Sets and Systems | 2017 | 11 Pages |
Abstract
In a recent paper we introduced a definition of f-divergence for non-additive measures. In this paper we use this result to give a definition of entropy for non-additive measures in a continuous setting. It is based on the KL divergence for this type of measures. We prove some properties and show that we can use it to find a measure satisfying the principle of minimum discrimination.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Vicenç Torra,
