Title :
Geometric compatibility modification in FuzzyCLIPS
Author :
Cross, Valerie ; Rajagopal, Anand
Author_Institution :
Dept. of Syst. Anal., Miami Univ., Oxford, OH, USA
Abstract :
The fuzzy inference method in most of the marketed development tools for fuzzy systems define rule relations using the min operator and employ the compositional rule of inference. This method is equivalent to set-theoretic compatibility modification inference Geometric compatibility modification inference, however, employs the dissemblance compatibility measure from metric class of compatibility measures. This inference method can determine a conclusion or an action even when the fuzzy input does not intersect the fuzzy antecedent of any rule such as in sparse rule bases. No set-theoretic compatibility measure has this capability. Because of this capability, the dissemblance compatibility measure is currently being implemented and tested as a new inference type in FuzzyCLIPS, a fuzzy systems development tool available on the Internet from the National Research Council of Canada
Keywords :
development systems; fuzzy systems; inference mechanisms; knowledge based systems; FuzzyCLIPS; Internet; development tools; fuzzy systems; inference method; Artificial intelligence; Councils; Current measurement; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Internet; NASA; System testing;
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.1995.527689