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- Tokumaru Masataka
- ORDIST, Kansai University
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- Muranaka Noriaki
- ORDIST, Kansai University
Bibliographic Information
- Other Title
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- 感性情報の分析を目的としたファジィ決定木の評価
- カンセイ ジョウホウ ノ ブンセキ オ モクテキ ト シタ ファジィ ケッテイギ ノ ヒョウカ
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Abstract
In this paper, we propose a method for investigation of Kansei information with Fuzzy C4.5 decision tree. In the case of Kansei information investigation, finding rules from constructed decision tree is required to be simple and easy to be understood. In our previous research, we had investigated the change of structure of constructed Fuzzy C4.5 decision tree from various types of membership functions and parameters for pruning. We found some optimized decision trees and rules about usability of golf clubs, which was an example for Kansei information investigation. In this paper, we evaluate stability of constructed Fuzzy C4.5 decision tree. We also compare the estimation abilities of fuzzy C4.5 decision tree with standard C4.5 decision tree.
Journal
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- Proceedings of the Fuzzy System Symposium
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Proceedings of the Fuzzy System Symposium 21 (0), 149-149, 2005
Japan Society for Fuzzy Theory and Intelligent Informatics
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Details 詳細情報について
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- CRID
- 1390001205668717696
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- NII Article ID
- 130005034950
- 40015196681
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- NII Book ID
- AA12165648
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- ISSN
- 18820212
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Disallowed