  This paper describes the design and development of a prototype technique for
artificial intelligence based on the fusion of genetic algorithm, neural
network and fuzzy logic. It starts by establishing a relationship between the
neural network and fuzzy logic. Then, it combines the genetic algorithm with
them. Information fusions are at the confidence level, where matching scores
can be reported and discussed. The technique is called the Genetic Neuro-Fuzzy
(GNF). It can be used for high accuracy real-time environments.
