论文信息 - Second generation fuzzy expert system

Second generation fuzzy expert system

Abstract We describe our approach to designing a fuzzy expert systems shell which is decision theoretic in nature. We wish to determine the interval operating characteristics in order to maximize the information in relevant working memory. Our solution is a shell which generalizes, and contains, our present shell FLOPS. Major additions are: 1. (1) upper and lower confidence values; 2. (2) allowing rules to fire on either or both confidence values; and 3. (3) a memory update algorithm designed to maximize information.

James J. Buckley | J. Buckley | D. Tucker | D. M. Tucker

[1] James J. Buckley,et al. Extended fuzzy relations: Application to fuzzy expert systems , 1987, Int. J. Approx. Reason..

[2] James J. Buckley,et al. Generalized and extended fuzzy sets with applications , 1988 .

[3] Samuel D. Bedrosian,et al. An information measure for fuzzy sets , 1984, IEEE Transactions on Systems, Man, and Cybernetics.

[4] Settimo Termini,et al. A Definition of a Nonprobabilistic Entropy in the Setting of Fuzzy Sets Theory , 1972, Inf. Control..

[5] James J. Buckley,et al. A Parallel Rule Firing Fuzzy Production System with Resolution of Memory Conflicts by Weak Fuzzy Monotonicity, Applied to the Classification of Multiple Objects Characterized by Multiple Uncertain Features , 1987, Int. J. Man Mach. Stud..

[6] B. Ebanks. On measures of fuzziness and their representations , 1983 .

[7] Enric Trillas,et al. Entropies in finite fuzzy sets , 1978, Inf. Sci..

[8] J. Knopfmacher. On measures of fuzziness , 1975 .

[9] James J. Buckley,et al. A fuzzy expert system , 1986 .

[10] James J. Buckley,et al. Echocardiogram analysis using fuzzy sets and relations , 1988 .