FUZZY CONCEPTS IN AN OBJECT ORIENTED EXPERT SYSTEM SHELL
Publication in refereed journal


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摘要Fuzzy logic is one of the methods to model the vagueness and imprecision of human knowledge. Some rule-based expert system shells have been successfully developed and have demonstrated the power of fuzzy logic in dealing with inexact reasoning and rule inferences. However, using rules for knowledge representation is not structured enough. In addition, knowledge cannot be easily represented in an abstracted (hierarchical) from. In this article the introduction of fuzzy concepts into object oriented knowledge representation (OOKR), which is a structured knowledge representation scheme, is presented. A framework for handling all the possible fuzzy concepts in OOKR at both the dynamic and static levels is proposed. In order to handle the inheritance mechanism and to model the relations among classes, instances, and attributes, some new fuzzy concepts and operations are introduced. These concepts and operations are developed from the semantic meaning rather than by an ad hoc approach. A prototype of the expert system shell. System FX-I, has been successfully developed based on the above framework, showing the feasibility of handling inexact knowledge in a structural way.
著者LEUNG KS, WONG MH
期刊名稱International Journal of Intelligent Systems
出版年份1992
月份2
日期1
卷號7
期次2
出版社WILEY-BLACKWELL
頁次171 - 192
國際標準期刊號0884-8173
電子國際標準期刊號1098-111X
語言英式英語
Web of Science 學科類別Computer Science; Computer Science, Artificial Intelligence; COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

上次更新時間 2020-03-07 於 02:45