Title :
Fuzzy logic systems: A classification based on capabilities in handling uncertainty
Author :
Uddin, Md Safi ; Sekercioglu, Y. Ahmet ; Mani, Nallasamy
Author_Institution :
Monash Univ., Melbourne
Abstract :
In this paper we present a classification of fuzzy logic systems. We show how the fuzzy logic systems can be divided into different categories depending on their capabilities in handling uncertainties in input data and in rule base representations. We also summarize the strength and weakness of different types of fuzzy logic systems.
Keywords :
data handling; fuzzy logic; knowledge based systems; fuzzy logic systems; handling uncertainty; rule base representations; Australia; Engines; Fuzzy logic; Fuzzy sets; Nonlinear systems; Shape; Training data; Uncertainty; Working environment noise; Fuzzy logic systems; type-1 fuzzy logic system; type-2 fuzzy logic system; uncertainty representation;
Conference_Titel :
Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
978-1-4244-0990-7
Electronic_ISBN :
978-1-4244-0991-4
DOI :
10.1109/ICSMC.2007.4414059
