Title :
Statistical confidence measure of fuzzy logic system performance
Author :
Lee, J.X. ; Vukovich, G.
Author_Institution :
Directorate of Spacecraft Eng., Canadian Space Agency, St. Hubert, Que., Canada
Abstract :
Statistical confidence measures of performance of a fuzzy logic system in identification problems are proposed. Specifically, by using interval estimation techniques of statistics, we present the statistical estimates of confidence limits on the mean of fuzzy logic system output error as well as on the means of prediction errors of individual IF-THEN rules. With these quantitative measures incorporated, the performances of the fuzzy logic system can be more accurately described and analyzed, and the overall system reliability is expected to be enhanced
Keywords :
estimation theory; fuzzy logic; fuzzy set theory; fuzzy systems; parameter estimation; probability; IF-THEN rules; confidence limits; fuzzy logic system; identification problems; interval estimation techniques; performance measure; prediction errors; quantitative measures; statistical confidence measure; Aerospace engineering; Error analysis; Extraterrestrial measurements; Fuzzy logic; Performance analysis; Performance evaluation; Random variables; Reliability; Space vehicles; System performance;
Conference_Titel :
American Control Conference, 1999. Proceedings of the 1999
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4990-3
DOI :
10.1109/ACC.1999.786448
