A flexible quantitative values definition method for stochastic qualitative reasoning
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- Wang Ping
- Osaka University
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- Yumoto Masaki
- Osaka University
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- Ohkawa Takenao
- Osaka University
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- Komoda Norihisa
- Osaka University
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- Miyasaka Fusachika
- Yamatake Corporation
Bibliographic Information
- Other Title
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- 確率的定性推論における定量値の柔軟な定性値化方式
- カクリツテキ テイセイ スイロン ニ オケル テイリョウチ ノ ジュウナン ナ
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Abstract
For fault detection of a complex system such as an air-conditioning system, we have developed an effective stochastic qualitative reasoning method. In this method, a complex system is expressed by its simple qualitative models. By comparing the states derived from the reasoning with the observations, the “agreement rate”, which is a parameter that shows how the reasoning reflects the real world, can be calculated. The malfunctioning parts of a system can be identified by the highest “agreement rate”.<br>In the stochastic qualitative reasoning, we have used a landmark separating definition for changing quantitative data into qualitative values. According to this definition, a little change in the quantitative data often gives rise to the radical fluctuation in the corresponding qualitative values. To tackle this problem, we propose a flexible definition using fuzzy set. In this flexible definition, the quantitative data near the landmark have double-defined qualitative values, and the grade of the quantitative data belonging to each qualitative value is expressed by the membership function.<br>This flexible definition was applied to a heat source system of a heat source system, and its effectiveness has been confirmed.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 118 (12), 1764-1771, 1998
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204607012992
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- NII Article ID
- 10002815740
- 130006842982
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 4612090
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed