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a10-1. 雑誌掲載論文 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/9070
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| タイトル: | Discounting and combination scheme in evidence theory for dealing with conflict in information fusion |
| 著者: | Huynh, Van-Nam |
| キーワード: | Information fusion
Conflict management
Dempster-Shafer theory
Classifier combination |
| 発行日: | 2009 |
| 出版者: | Springer |
| 誌名: | Lecture Notes in Computer Science |
| 巻: | 5861/2009 |
| 開始ページ: | 217 |
| 終了ページ: | 230 |
| DOI: | 10.1007/978-3-642-04820-3_20 |
| 抄録: | Recently combination rules as well as the issue of conflict management in Dempster-Shafer theory have received considerable attention in information fusion research. Mostly these studies considered the combined mass assigned to the empty set as the conflict and have tried to provide alternatives to Dempster's rule of combination, which mainly differ in the way of how to manage the conflict. In this paper, we introduce a hybrid measure to judge the difference between two bodies of evidence as a basis for conflict analysis, and argue that using the combined mass assigned to the empty set emph{as a whole} to quantify conflict seems inappropriate. We then propose to use the discounting operator in association with the combination operator to resolve conflict when combining evidence, in which the discount rate of a basic probability assignment is defined using the entropy of its corresponding pignistic probability function. Finally, an application of this discounting and combination scheme to fusion of decisions in classifier combination is demonstrated. |
| Rights: | This is the author-created version of Springer, Van-Nam Huynh, Lecture Notes in Computer Science, 5861/2009, 2009, 217-230. The original publication is available at www.springerlink.com, http://dx.doi.org/10.1007/978-3-642-04820-3_20 |
| URI: | http://hdl.handle.net/10119/9070 |
| 資料タイプ: | author |
| 出現コレクション: | a10-1. 雑誌掲載論文 (Journal Articles)
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このアイテムのファイル:
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| 14666-1.pdf | | 174Kb | Adobe PDF | 見る/開く |
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