Abstract
This paper shows a distributed fuzzy classification system for the purpose of speeding-up the process. Two processes are distributed over multiple computing elements in this paper. One is a fuzzy rule-generation process where the consequent class and the certainty factor are determined from training patterns. The other is a fuzzy inference process where an input pattern is classified using the generated fuzzy If-Then rules. In order to identify the bottle-neck process in fuzzy classification systems, first we investigate the computational effort in the process of fuzzy classification process. Then we introduce the idea of distributing the two processes over multiple computers that are connected to each other. In the computational experiments of this paper we show an example of the application of the distributed fuzzy classification system for high-dimensional pattern classification problems.
