Title :
The fuzzy reasoning of multi-expert system
Author :
Li, Junian ; Li, Tong ; Guo, Liping
Author_Institution :
Dept. of Comput. Sci., Henan Normal Univ., Xinxiang, China
Abstract :
In multi expert systems (ES), difficulties arise when experts dealing with the same problem have different opinions, even opposite ones, which is especially true for traditional Chinese doctors. For the same patient, some doctors suggest a nourishing method and others recommend a dissipating method. Although diagnosis and therapy are completely contrasting among doctors the results may be the same. However, it would be difficult to combine their knowledge and rules together. The paper is intended to solve the above mentioned problem via automatic inference and decision in a multi expert system. Although the suggested model is especially suitable for the automatic inference and decision making in a medicinal multi expert system, it is generally useful for any multi expert systems
Keywords :
fuzzy set theory; inference mechanisms; medical expert systems; uncertainty handling; automatic inference; decision making; diagnosis; fuzzy reasoning; medicinal multi expert system; multi expert systems; multi-expert system; therapy; traditional Chinese doctors; Design for manufacture; Diseases; Equations; Fuzzy reasoning; Medical treatment; Surgery;
Conference_Titel :
Uncertainty Modeling and Analysis, 1995, and Annual Conference of the North American Fuzzy Information Processing Society. Proceedings of ISUMA - NAFIPS '95., Third International Symposium on
Conference_Location :
College Park, MD
Print_ISBN :
0-8186-7126-2
DOI :
10.1109/ISUMA.1995.527789