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Japan Long-Term Research Visit: Research Topics in Fuzzy Logic and Applications

Japan Long-Term Research Visit: Research Topics in Fuzzy Logic and Applications
日本长期考察访问:模糊逻辑及其应用研究课题
批准号:
9108632
负责人:
Anca Ralescu
金额:
$15.73万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1991
资助国家:
美国
项目状态:
已结题
起止时间:
1991-08-01 至 1994-11-30

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中文摘要
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英文摘要
This award will support a long-term research visit by Professor Anca Ralescu, Department of Computer Science, University of Cincinnati to the laboratory of Professor Michio Sugeno, Department of Systems Science of the Tokyo Institute of Technology, Nagatsuta, Japan. They will jointly carry out research on three important issues in the field of fuzzy logic: (1) fuzzy logic based concept learning from examples and counter examples (2) fuzzy syllogistic reasoning and its relation to other forms of inference under uncertain, incomplete, or not totally reliable data (3) integrating quantitative semantics for knowledge representation as proposed by fuzzy logic and symbolic knowledge representation paradigm with enhanced expressive power. The project represents an excellent collaboration between the Japanese and U.S. scientists. Professor Ralescu has expertise in the management of uncertainty in expert systems. Professor Sugeno is a well-known and established academic who was a pioneer in the area of "fuzzy" methods. Currently Japan is at the forefront in fuzzy theory research and implementation. At the same time research in the United States involving fuzzy logic is minimal. Results of the research could contribute to the spread of fuzzy logic based devices into the engineering environment by making it possible to build fuzzy logic devices with limited intel- ligence. It may also lead to a large number of commercial uses for fuzzy logic in the United States.
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EAGER - Exploration of Brain Computer Interface for Individuals with Cerebral Palsy
Modelling Imprecision with Support Logic Programming (Computer and Information Science)
  • 批准号:
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  • 依托单位:
U.S.-United Kingdom Cooperative Science: A Support Logic Programming Calculus With Imprecise Quantifiers Suitable forExpert Systems
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