Cost-Performance Co-Analysis in VLSI Implementation of Existing and New Defuzzification Methods

Abstract

In this paper, three novel defuzzification methods are presented which are appropriate for low-cost hardware implementations. An elaborate set of ten different defuzzification methods including our three newly-proposed ones are introduced. The C models for all of these methods are prepared for the accuracy-analysis simulations. The HDL models are also developed and synthesized to analyze the implementation cost of each method. This makes it possible to compare the accuracy of these different methods while considering their VLSI implementation costs. The accuracy analysis simulations are performed on six different sets of output fuzzy membership functions with various features to achieve more general and reliable results. A two-dimensional diagram of cost-accuracy analysis is introduced which helps the designers to choose the defuzzification method which best suits their application