Study and Review of Fuzzy Inference Systems for Decision Making and Control
Swati R. Chaudhari, Manoj E. Patil · 2014
The fuzzy inference system with weighted average is computationally efficient and useful for dynamic nonlinear system control while the system that defuzzifies the fuzzy output into crisp is best suited for decision making and control. However in these systems complexity with high order polynomials and a substantial computational burden rises when used separately. Multilayer approach with weighted average and defuzzification set in layers can reduce the cost of defuzzification and lack of output expressivity that causes risk when used as a controller. The adaptive fuzzy system with this approach makes the system exploitable for areas requiring easy interpretation and human reasoning. In this review paper there is the study of fuzzy inference systems and the proposed multilayer system with defuzzification and weighted average is explained.