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 |
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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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Hirota, K., & Pedrycz, W. (1995). Design of Fuzzy Systems With Fuzzy Flip-Flops. IEEE Transactions on Systems, Man and Cybernetics, 25(1), 169-176. https://doi.org/10.1109/21.362956