A Variation of the Algorithm to Achieve the Maximum Entropy for Belief Functions
Evidence theory (TE), based on imprecise probabilities, is often more appropriate than the classical theory of probability (PT) to apply in situations with inaccurate or incomplete information. The quantification of the information that a piece of evidence involves is a key issue in TE. Shannon’s en...
| 出版年: | Entropy |
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| 主要な著者: | , , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
MDPI AG
2023-05-01
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| 主題: | |
| オンライン･アクセス: | https://www.mdpi.com/1099-4300/25/6/867 |