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: University of Cincinnati Main Campus
• 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
• 起止时间: 1991-08-01 至 1994-11-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9108632&HistoricalAwards=false
• 关键词: Japan; Long; Term; Research; Visit

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.

该奖项将支持长期的研究访问， Anca Ralescu教授，计算机科学系， 辛辛那提大学教授来实验室 Michio Sugeno，东京大学系统科学系 日本长津田工学院。他们将共同 研究领域的三个重要问题， 模糊逻辑：（1）基于模糊逻辑的概念学习， 实例与反例（2）模糊三段论推理 以及它与不确定条件下其他推理形式的关系， 不完整或不完全可靠的数据（3）整合 知识表示的定量语义学 提出了模糊逻辑和符号知识表示 具有增强的表达能力的范例。 该项目代表了一个很好的合作， 日本和美国科学家。 拉列斯库教授有专业知识 专家系统中的不确定性管理。 教授 Sugeno是一位知名的学术人士， “模糊”方法领域的先驱。目前日本在 模糊理论研究的前沿， 实施. 与此同时，在美国的研究 涉及模糊逻辑的状态是最小的。 结果 研究可能有助于模糊逻辑的传播， 通过使设备进入工程环境， 可以用有限的智能制造模糊逻辑设备， 光明。 它还可能导致大量的商业 在美国使用模糊逻辑。