Name
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/FUZZ-IEEE.2013.6622380 | Fuzzy Systems |
Keywords | Field | DocType |
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,aggregation,discrete numbers,fuzzy systems,inference systems | Fuzzy reasoning,Computer science,Fuzzy logic,Knowledge-based systems,Fuzzy set,Inference engine,Operator (computer programming),Artificial intelligence,Fuzzy control system,Mechatronics,Machine learning | Conference |
ISSN | ISBN | Citations |
1098-7584 | 978-1-4799-0020-6 | 0 |
PageRank | References | Authors |
0.34 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Antonio Hernández Zavala | 1 | 24 | 5.55 |
| Jorge Adalberto Huerta Ruelas | 2 | 1 | 2.09 |
| Arodi Rafael Carballo Dominguez | 3 | 0 | 0.34 |
| Oscar Camacho Nieto | 4 | 65 | 14.93 |
| Hernandez Zavala, A. | 5 | 0 | 0.34 |
| Huerta Ruelas, J.A. | 6 | 0 | 0.34 |
| Carballo Dominguez, A.R. | 7 | 0 | 0.34 |
| Camacho Nieto, O. | 8 | 0 | 0.34 |