C. Perneel et al., OPTIMIZATION OF FUZZY EXPERT-SYSTEMS USING GENETIC ALGORITHMS AND NEURAL NETWORKS, IEEE transactions on fuzzy systems, 3(3), 1995, pp. 300-312
In this paper, the fuzzy logic theory is used to build a specific deci
sion-making system for heuristic search algorithms. Such algorithms ar
e typically used for expert systems. To improve the performance of the
overall system, a set of important parameters of the decision-making
system is identified. Two optimization methods for the learning of the
optimum parameters, namely genetic algorithms and gradient-descent te
chniques based on a neural network formulation of the problem, are use
d to obtain an improvement of the performance. The decision-making sys
tem and both optimization methods are tested on a target recognition s
ystem.