Design of Fuzzy Inference Processor-A MAX-MIN Calculator Circuit for MMF

The fuzzy logic is effectively connected in different applications in all fields of engineering and science including buyer gadgets, control systems, signal and image processing etc.The different fuzzy processing systems have been utilized by distinctive specialists for advancement of different applications. The focal point of fuzzy systems is to approximate system behavior where numerical relations don't exist. The fundamental point of fuzzy logic system is to create an impersonation of a human sagacious system, with the capacity of controlling a given application without any mathematical model. A given a set of input data, the fuzzy inference processor estimate the proposed activities as indicated by their conformance with the knowledge base. A real-time fuzzy inference involves processing the knowledge base within constant period of time and with minimum speed of one MFLIPS (Mega fuzzy logic inferences per second). The drawback of high latency of matching degree(MD) calculation between the fuzzified input and the antecedent membership functions (MF) is addressed by implementing a multi membership function (MMF) based MAX-MIN calculator circuit to improve the fuzzy inference for the first time in comparison to the existing architectures of MAX-MIN circuits which deal with just one MF at a time. The proposed architecture calculates the matching degree of trapezoid triangular and gaussian together. The architecture is modeled in VHDL and implemented in XILINX and Spartan field programmable gate arrays (FPGA).