Bors, Ádám and Johanyák, Zsolt Csaba (2018) Software implementation of automatic Fuzzy system generation and optimization. GRADUS, 5 (1). pp. 134-139. ISSN 2064-8014
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Abstract
Automatic fuzzy system generation from sample data is a common task in fuzzy modeling. Here usually first an initial system is created using clustering, grid partitioning or other approaches and next, the parameters of the system are optimized based on the difference between the sample output and the output of the fuzzy system. The software being presented in this paper supports the whole process providing a wide range of parameterization opportunities. It also includes an optimization toolbox that offers five optimization algorithms, from which one represents a novel approach. The proposed new algoríthm was compared with four well-known methods using several benchmark functions and it ensured better results in case of many functions.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | fuzzy logic, software, optimization, fuzzy system |
| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány Q Science / természettudomány > QA Mathematics / matematika > QA76 Computer software / programozás |
| Depositing User: | Zoltán Subecz |
| Date Deposited: | 15 Jun 2020 11:38 |
| Last Modified: | 03 Apr 2023 06:49 |
| URI: | http://real.mtak.hu/id/eprint/109731 |
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