Abstract | ||
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Operations used in fuzzy systems to realize conjunction and disjunction over fuzzy sets are commonly minimum and maximum because they are easy to implement and provide good results when fuzzy system is tuned, but tuning of the system is a hard work that can result on knowledge lost. A good choice to tune the system without loss of previously stated knowledge is by using parametric classes of conjunction and disjunction operations, but these operations must be suitable to be efficiently implemented on digital hardware. In this paper, the problem of obtain effective digital hardware for parametric operations of fuzzy systems is studied. The methods for generation of parametric classes of fuzzy conjunctions and disjunctions by means of generators and basic operations are considered. Some types of generators of parametric fuzzy operations simple for hardware implementation are proposed. New hardware implementation for parametric operations with operation selection is presented. |
Year | DOI | Venue |
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2009 | 10.1007/978-3-642-05258-3_38 | MICAI |
Keywords | Field | DocType |
parametric operations,fuzzy set,fuzzy system,effective digital hardware,parametric class,digital hardware implementation,fuzzy systems,hardware implementation,new hardware implementation,parametric operation,parametric fuzzy operation,digital hardware,fuzzy conjunction,fuzzy logic | Fuzzy electronics,Neuro-fuzzy,Defuzzification,Fuzzy set operations,Computer science,Fuzzy logic,Fuzzy set,Artificial intelligence,Fuzzy control system,Computer hardware,Fuzzy number,Machine learning | Conference |
Volume | ISSN | Citations |
5845 | 0302-9743 | 5 |
PageRank | References | Authors |
0.50 | 5 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Antonio Hernández Zavala | 1 | 24 | 5.55 |
Ildar Z. Batyrshin | 2 | 78 | 15.17 |
Imre J. Rudas | 3 | 388 | 63.89 |
Luis A. Villa | 4 | 15 | 2.32 |
Oscar Camacho Nieto | 5 | 65 | 14.93 |