DocumentCode :
640953
Title :
Discrete fuzzy systems: The aggregation operator
Author :
Hernandez Zavala, Antonio ; Huerta Ruelas, Jorge Adalberto ; Carballo Dominguez, Arodi Rafael ; Camacho Nieto, Oscar
Author_Institution :
Mechatron. Dept. CICATA, Inst. Politec. Nac., Queretaro, Mexico
fYear :
2013
fDate :
7-10 July 2013
Firstpage :
1
Lastpage :
6
Abstract :
Knowledge-based systems have the ability to realize inferences out of pre-defined rules. As the antecedents are driven into the fuzzy system, the system infers to obtain the consequents. These consequents are used to obtain crisp output data. The aggregation operator combines these consequents to obtain a unified shape from which a unique result can be obtained. The way to handle the aggregation varies according to the type of membership functions involved. This paper presents a way of realizing aggregation operation when the membership functions are represented by means of a-levels, showing that this case is suitable for discrete fuzzy system implementations.
Keywords :
discrete systems; fuzzy reasoning; fuzzy set theory; fuzzy systems; knowledge based systems; α-level based membership functions; aggregation operator; defuzzifier; discrete fuzzy system; fuzzy sets; inference engine; rule base; Computers; Fuzzy logic; Fuzzy systems; Indexes; Mechatronics; Pragmatics; Shape; aggregation; discrete numbers; fuzzy systems; inference systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems (FUZZ), 2013 IEEE International Conference on
Conference_Location :
Hyderabad
ISSN :
1098-7584
Print_ISBN :
978-1-4799-0020-6
Type :
conf
DOI :
10.1109/FUZZ-IEEE.2013.6622380
Filename :
6622380
Link To Document :
بازگشت