A fuzzy rule-based expert system for marine bioassessment
β Scribed by John Farrell; Abraham Kandel
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 615 KB
- Volume
- 89
- Category
- Article
- ISSN
- 0165-0114
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β¦ Synopsis
In this paper we investigate the modification of Trident, a prototypical rule-based expert system for marine bioassessment, so it can represent imprecise knowledge and perform inferences under uncertainty. Fuzzy set theory is used to implement the vague knowledge representation with fuzzy logic as the vehicle to perform the inferences. The Fuzzy CLIPS expert system shell is the vehicle of the modification. Illustrative examples are presented to demonstrate the need for, and the implementation of, fuzzy set theory in a marine bioassessment program.
π SIMILAR VOLUMES
The veriΓΏcation of fuzzy rule bases for anomalies has received increasing attention these last few years. Many di erent approaches have been suggested and many are still under investigation. In this paper, we give a synthesis of methods proposed in literature that try to extend the veriΓΏcation of cl