Theory System Construction of Distance-Type Fuzzy Reasoning Method
| Project/Area Number |
17500156
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Sensitivity informatics/Soft computing
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| Research Institution | Kochi University of Technology |
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Principal Investigator |
WANG Shuoyu Kochi University of Technology, Faculty of Engineering, Department of Intelligent Mechanical Systems, Professor (90250951)
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| Co-Investigator(Kenkyū-buntansha) |
MIZUMOTO Masaharu Osaka Electro-Communication University, Faculty of Information Science and Arts, Department of Information Engineering, Professor (40029541)
TSUCHIYA Takeshi Hokkaido Institute of Technology, Faculty of Engineering, Department of Electrical and Electronics Engineering, Professor (90001172)
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| Project Period (FY) |
2005 – 2007
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| Project Status |
Completed (Fiscal Year 2007)
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| Budget Amount *help |
¥3,010,000 (Direct Cost: ¥2,800,000、Indirect Cost: ¥210,000)
Fiscal Year 2007: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2006: ¥1,500,000 (Direct Cost: ¥1,500,000)
Fiscal Year 2005: ¥600,000 (Direct Cost: ¥600,000)
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| Keywords | Distance-Type Fuzzy Reasoning Method / Distance / Reasoning / Set / Fuzzy Set / Knowledge / Knowledge Radius / Discrete Type Fuzzy Set |
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| Research Abstract |
In this project, theory system of Distance-Type Fuzzy Reasoning Method is being constructed to realize humanlike reasoning. The following items have been completed including last year's results.
1. Humans use not only single-stage multi-fold rules but also multi-fold multi-stage rules to fulfill high level reasoning. Therefore, last year's basic reasoning algorithm was expanded to multi-fold multi-stage rules. The basic idea is that if the distance between fuzzy variables of rules is regarded as resistance, according to the theory of electric network, it is possible to develop a reasoning algorithm for multi-fold multi-stage rules which have discrete fuzzy variable.
2. In the knowledge representation within the brain, visual figure information is figurative, and since there is much amount of information, not only symbolic information but also figure information is very important. Therefore, the knowledge representation with figures is often used for reasoning. In order to realize more humanlike reasoning, Distance-type Diagrammatic Reasoning Method has been developed by introducing the expression of feature space and conceptual vector, regarding figure information as the expansion of fuzzy set.
3. It is desirable to discuss knowledge representation, knowledge acquisition, learning and reasoning collectively. Accordingly, in previous studies, we have proposed an algorithm to unite all the intelligent activities with a reasoning method satisfying distance concept and rule of detachment. Its effectiveness has been shown at simulation level.
A software named Human Reasoning Engine has been developed based on the above-mentioned results. There is plan to distribute the software through the homep age of Japan Society for Fuzzy Theory and Intelligent Informatics.
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Report
(4 results)
Research Products
(47 results)
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[Journal Article] 距離型図形推論法2005
Author(s)
王 碩玉, 水本 雅晴, 土谷 武士
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Journal Title
知能と情報(日本知能情報ファジィ学会誌) Vol.17 No.1
Pages: 122-133
NAID
Description
「研究成果報告書概要(和文)」より
Related Report
Peer Reviewed
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