Expert Systems Using Fuzzy Logic
We show how the theory of approximate reasoning developed by L.A. Zadeh provides a natural format for representing the knowledge and performing the inferences in rule based expert systems. We extend the representational ability of these systems by providing a new structure for including rules which only require the satisfaction to some subset of the antecedent conditions. This is accomplished by the use of fuzzy quantifiers. We also provide a methodology for the inclusion of a form of uncertainty in the expert systems associated with the belief attributed to the data and production rules.
KeywordsExpert System Fuzzy Subset Reasoning System Membership Grade Possibility Distribution
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- (1).Buchanan, B.G. and Duda, R.O., “Principles of rule-based expert systems,” Fairchild Technical Report No. 626, Lab. for Artificial Intelligence Research, Fairchild Camera, Palo Alto, Ca., 1982.Google Scholar
- (2).Buchanan, B.G., “Partial bibliography of work on expert systems,” Sigart Newsletter, No. 84, 45–50, 1983.Google Scholar
- (3).Shortliffe, E.H., Computer Based Medical Consultations: MYCIN, American Elsevier, New York 1976.Google Scholar
- (5).Van Melle, W., “A domain independent system that aids in constructing knowledge-based consultation program,” Ph.D. dissertation, Stanford University Computer Science Dept., Stanford CS-80–820, 1980.Google Scholar
- (7).Zadeh, L.A., “The concept of a linguistic variable and its application to approximate reasoning,” Information Science 8 and 9, 199–249, 301–357, 43–80, 1975.Google Scholar
- (8).Zadeh, L.A., “A theory of approximate reasoning,” in Hayes, J.E., Michie, D. and Kulich, L.I., (eds) Machine Intelligence 9, 149–194, John Wiley & Sons, New York, 1979.Google Scholar
- (11).Yager, R.R., “Querying knowledge base systems with linguistic information via knowledge trees,” Int. J. Man- Machine Studies 19, 1983.Google Scholar
- Yager, R. R., “Default and approximate reasoning,” Proc. 2nd IFSA Conference, Tokyo, 690–692, 1987.Google Scholar
- Yager, R. R., Ovchinnikov, S., Tong, R. and Nguyen, H., Fuzzy Sets and Applications: Selected Papers by L. A. Zadeh, John Wiley & Sons: New York, 1987.Google Scholar