Japan Long-Term Research Visit: Research Topics in Fuzzy Logic and Applications
Japan Long-Term Research Visit: Research Topics in Fuzzy Logic and Applications
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
中文摘要
该奖项将支持辛辛那提大学计算机科学系Anca Ralescu教授对日本长津市东京工业大学系统科学系Michio Sugeno教授的长期研究访问。他们将共同就模糊逻辑领域的三个重要问题进行研究:(1)基于模糊逻辑的从实例和反例中进行概念学习(2)不确定、不完全、将模糊逻辑提出的定量语义与符号知识表示范式相结合,增强了知识的表达能力。该项目代表了日本和美国科学家之间的出色合作。Ralescu教授在管理专家系统中的不确定性方面拥有专业知识。Sugeno教授是一位著名的学者,他是“模糊”方法领域的先驱。目前,日本在模糊理论研究和应用方面走在了前列。与此同时,在美国涉及模糊逻辑的研究很少。研究结果有助于将基于模糊逻辑的器件推广到工程环境中,使制造有限智能的模糊逻辑器件成为可能。这也可能导致模糊逻辑在美国的大量商业用途。
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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