This paper is published in Volume-6, Issue-2, 2020
Area
Fuzzy Systems
Author
K. S. Gilda, Dr. S. L. Satarkar
Org/Univ
College of Engineering and Technology, Akola, Maharashtra, India
Keywords
Defuzzification, Parameters, Fuzzy, Membership function
Citations
IEEE
K. S. Gilda, Dr. S. L. Satarkar. Analytical overview of defuzzification methods, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
K. S. Gilda, Dr. S. L. Satarkar (2020). Analytical overview of defuzzification methods. International Journal of Advance Research, Ideas and Innovations in Technology, 6(2) www.IJARIIT.com.
MLA
K. S. Gilda, Dr. S. L. Satarkar. "Analytical overview of defuzzification methods." International Journal of Advance Research, Ideas and Innovations in Technology 6.2 (2020). www.IJARIIT.com.
K. S. Gilda, Dr. S. L. Satarkar. Analytical overview of defuzzification methods, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.
APA
K. S. Gilda, Dr. S. L. Satarkar (2020). Analytical overview of defuzzification methods. International Journal of Advance Research, Ideas and Innovations in Technology, 6(2) www.IJARIIT.com.
MLA
K. S. Gilda, Dr. S. L. Satarkar. "Analytical overview of defuzzification methods." International Journal of Advance Research, Ideas and Innovations in Technology 6.2 (2020). www.IJARIIT.com.
Abstract
Fuzzy systems are of basically two types- fuzzy controllers and fuzzy reasoning systems. Defuzzification is the last step of the fuzzy system, which converts the fuzzy output set to a crisp value. This paper discusses the essential set of parameters that a defuzzification method should exhibits. Classification of different defuzzification methods is presented and each method is evaluated briefly based on the parameters discussed. The analysis of these methods emphasizes the need for a defuzzification method suitable for fuzzy reasoning systems as well as fuzzy controllers.
