Dynamic-link rule base in fuzzy inference system

A dynamic-link rule base (DLRB) is introduced to the fuzzy inference systems for the purpose of speeding up and simplifying the fuzzy reasoning. This paper proposes a new reasoning mechanism by adding a dynamic-link rule base between the original rule base and the inference engine. The fuzzy inference system with a dynamic-link rule base is called a dynamic-link-rule-base-fuzzy-inference-system (DLRB-FIS). In the DLRB-FIS, only the fired rules, whose firing strengths are not equal to zero, are included for inference. The mathematical foundations, theorems and architecture of the DLRB-FIS are presented. A numeric example is also given for verifying the practicability of DLRB-FIS. The DLRB-FIS proposed has a general-purpose architecture. Therefore, it can be applied to many kinds of fields, such as fuzzy control, fuzzy image processing, fuzzy decision making, and fuzzy pattern recognition, etc