Implementation of multistep fuzzy reasoning shell

Abstract

AbstractRecently, there have been many trials conducted to develop fuzzy inference systems that can handle the subjective decision of the expert. A problem in the fuzzy control system is that it is an inference composed of only a single step, and cannot be applied to the decision‐making assist or diagnosis, where the inference is made in multisteps. Another point is that the rules of the inference cannot be described for each knowledge source, which has been the conventional inference shell (deterministic inference shell).This paper proposes a fuzzy inference shell which can realize the multistep inference using the blackboard model. The proposed shell uses its own rule description language to represent the knowledge, and the description can be made by combining the new method with the conventional deterministic inference.Using the divided knowledge blocks, the multi‐step fuzzy inference can be realized using the blackboard model. The search function also is provided that can track the inference path in the multistep inference. This paper describes the basic configuration of such a shell.