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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/10119/11483
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| タイトル: | An extension of context model for representing vague knowledge |
| 著者: | Huynh, Van-Nam
Miyamoto, Sadaaki
Nakamori, Yoshiteru |
| キーワード: | Context model
Dempster-Shafer theory
fuzzy context model
vague knowledge
uncertainty measure of type 2 |
| 発行日: | 2012-11-19 |
| 出版者: | Inderscience |
| 誌名: | International Journal of Reasoning-based Intelligent Systems |
| 巻: | 4 |
| 号: | 3 |
| 開始ページ: | 171 |
| 終了ページ: | 179 |
| DOI: | 10.1504/IJRIS.2012.050375 |
| 抄録: | In this paper, a framework for representing vague knowledge based on the notion of context model introduced by Gebhardt and Kruse (1993) is discussed. From a concept analysis point of view, it has been shown that the context model can be semantically considered as a data model for fuzzy concept analysis (Huynh et al., 2004). From a decision analysis point of view, in order to deal with the problem of synthesis of vague evidence linguistically provided by experts in some situations of decision analysis, the notions of context-dependent vague characteristics and fuzzy context model will be introduced. It is shown that each context-dependent vague characteristic within fuzzy context model directly induces a uncertainty measure of type 2 interpreted as “vague” belief function, which is inferred from vague evidence expressed linguistically. |
| Rights: | Copyright (C) 2012 Inderscience. Van-Nam Huynh, Sadaaki Miyamoto, Yoshiteru Nakamori, International Journal of Reasoning-based Intelligent Systems, 4(3), 2012, 171-179. http://dx.doi.org/10.1504/IJRIS.2012.050375 |
| URI: | http://hdl.handle.net/10119/11483 |
| 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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記述 |
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| 19317.pdf | | 163Kb | Adobe PDF | 見る/開く |
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