Abstract
The paper introduces a design methodology for developing fuzzy systems with the aid of fuzzy JK flip-flops. The network representation of the flip-flops expressed with the aid of generic AND and OR neurons is provided. Detailed design algorithms that essentially exploit a parametric learning of the flip-flops are studied. Numerical examples are given as well.
| Original language | English |
|---|---|
| Pages (from-to) | 169-176 |
| Number of pages | 8 |
| Journal | IEEE Transactions on Systems, Man and Cybernetics |
| Volume | 25 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jan 1995 |
| Externally published | Yes |
Keywords
- Fuzzy systems
- JK flip-flop
- design
- distributed modelling
- fuzzy algorithmic state machines
- fuzzy algorithms
- learning
- network representation
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