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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/10119/4998
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| タイトル: | A context model for fuzzy concept analysis based upon modal logic |
| 著者: | Huynh, V. N.
Nakamori, Y.
Ho, T. B.
Resconi, G. |
| キーワード: | Context model
modal logic
fuzzy concept
membership function |
| 発行日: | 2004-03-22 |
| 出版者: | Elsevier |
| 誌名: | Information Sciences |
| 巻: | 160 |
| 号: | 1-4 |
| 開始ページ: | 111 |
| 終了ページ: | 129 |
| DOI: | 10.1016/j.ins.2003.08.010 |
| 抄録: | In this paper we present interesting relationships between the context model, modal logic and fuzzy concept analysis. It has been shown that the context model proposed by Gebhardt and Kruse (1993) can be semantically extended and considered as a data model for fuzzy concept analysis within the framework of the meta-theory developed by Resconi et al. in 1990s. Consequently, the context model provides a practical framework for constructing membership functions of fuzzy concepts and gives the basis for a theoretical justification of suitably use of well-known t-norm based connectives such as min-max and product-sum rules in applications. Furthermore, an interpretation of mass assignments of fuzzy concepts within the context model is also established. |
| Rights: | NOTICE: This is the author's version of a work accepted for publication by Elsevier. V. N. Huynh, Y. Nakamori, T. B. Ho and G. Resconi, Information Sciences, 160(1-4), 2004, 111-129, http://dx.doi.org/10.1016/j.ins.2003.08.010 |
| URI: | http://hdl.handle.net/10119/4998 |
| 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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| C2013.pdf | | 205Kb | Adobe PDF | 見る/開く |
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