Prof Peter Andras P.Andras@napier.ac.uk
Dean of School of Computing Engineering and the Built Environment
Neural Network Approximation of Fuzzy Logic Operators
Andras, P�ter; Kaban, Ata; Bossanyi, R?bert
Authors
Ata Kaban
R?bert Bossanyi
Abstract
We investigate in this paper how to use neural networks to help the development of efficient fuzzy decision systems. First we review the basic theories of fuzzy logic and neural networks, and we look at the main applications of the artificial neural networks in relation with the fuzzy systems. We propose a neural network based approach for the calculation of the fuzzy logic operators AND and OR. Our approach permits a more efficient design of the fuzzy decision systems
Citation
Andras, P., Kaban, A., & Bossanyi, R. (2000). Neural Network Approximation of Fuzzy Logic Operators. Annales universitatis occidentalis timisiensis series philosophia, XII, 147-159
| Journal Article Type | Article |
|---|---|
| Publication Date | 2000 |
| Deposit Date | Nov 24, 2021 |
| Print ISSN | 1224-9688 |
| Peer Reviewed | Peer Reviewed |
| Volume | XII |
| Pages | 147-159 |
| Series Title | Annales universitatis occidentalis timisiensis series philosophia |
| Series Number | XII |
| Series ISSN | 1224-9688 |
| Public URL | http://researchrepository.napier.ac.uk/Output/2808868 |
| Related Public URLs | http://www.filcom.uvt.ro/dmdocuments/AUVT/2000_AUVT.pdf |
You might also like
Structural Complexity and Performance of Support Vector Machines
(2022)
Presentation / Conference Contribution
Federated Learning for Short-term Residential Load Forecasting
(2022)
Journal Article