Center of Largest Area Defuzzifier Vnit VLSI Architecture

Abstract

Defuzzification unit combines fuzzy variables and fuzzy decisions to form a corresponding real (crisp or non-fuzzy) signal which can be used then to actuate some processes. Since the fuzzy data cannot be used directly for the real time applications, therefore it has to be converted into a crisp value. In designing the defuzzification unit in this work, the center of largest area has been used, because of its computationally efficient nature. The Center of Largest Area (COLA) of defuzzification is simple and is being generally used in comparison with more complex center of sums defuzzification method. The proposed architecture has been modeled in Very High Description Language (VHDL) and implemented in XILINX and Spartan field programmable gate arrays (FPGA).The proposed architecture is more efficient in area and the speed of operation in comparison with more complex architecture used for the Center of sums. The functional analysis has revealed that the proposed architecture is implementing COLA based defuzzifier efficiently and accurately.