Generating Interpretable Fuzzy Systems for Classification Problems
This paper presents a new method to generate interpretable fuzzy systems from training data to deal with classification problems. The antecedent partition uses triangular sets with 0.5 interpolations avoiding the presence of complex overlapping that happens in another method. Singleton consequents a...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Instituto Tecnológico Metropolitano
2009-12-01
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| Series: | TecnoLógicas |
| Subjects: | |
| Online Access: | http://itmojs.itm.edu.co/index.php/tecnologicas/article/view/246 |