Framework for object-oriented fuzzy expert systems

Shiuh Chu Lee, Jye Yuan Lee, Yau Hwang Kuo, Ren Dar Yang

Research output: Contribution to conferencePaperpeer-review

6 Citations (Scopus)


In recent years, the fuzzy logic has been widely used in the field of AI. Many successful fuzzy expert systems and fuzzy control systems have been developed. In general, these systems adopt the rule-based knowledge representation. On the other hand, it is also suitable that adopts the object-oriented paradigm for representing knowledge. This paper proposes a framework that integrates the fuzzy inference model and the object-oriented paradigm for building expert systems. This framework embeds the properties of object-oriented paradigm, e.g., encapsulation, inheritance, message passing and polymorphism, into the model of fuzzy expert systems. It also includes a partial inheritance model, so that the child object may inherits the property of parent object partially. The inheritance process is viewed as a process of evolution, and the partial inheritance is treated as a special kind of fuzzy implication.

Original languageEnglish
Number of pages9
Publication statusPublished - 1994
EventProceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA - San Antonio, TX, USA
Duration: 1994 Dec 181994 Dec 21


OtherProceedings of the 1994 1st International Joint Conference of NAFIPS/IFIS/NASA
CitySan Antonio, TX, USA

All Science Journal Classification (ASJC) codes

  • General Engineering


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