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A fuzzy theory refinement algorithm
1998
International Journal of Approximate Reasoning
A fuzzy theory refinement algorithm composed of a heuristic process of generalization, specification, addition and elimination of rules is proposed. This refinement algorithm can be applied to knowledge bases obtained from several sources (learning algorithms, experts), but its development is strongly associated with the SLAVE learning system. SLAVE was developed for working with noise-affected systems where the application of some conditions of classical learning theory do not produce good
doi:10.1016/s0888-613x(98)00013-9
fatcat:qaxilp7i2zb5xm7gl7w7dlb56i