Academic Journal
Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems
| العنوان: | Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems |
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| المؤلفون: | DimitrisG. Stavrakoudis, GeorgiaN. Galidaki, IoannisZ. Gitas, JohnB. Theocharis |
| المصدر: | International Journal of Computational Intelligence Systems, Vol 5, Iss 2 (2012) |
| بيانات النشر: | Springer, 2012. |
| سنة النشر: | 2012 |
| المجموعة: | LCC:Electronic computers. Computer science |
| مصطلحات موضوعية: | Genetic fuzzy rule-based classification systems (GFRBCS), local feature selection, genetic tuning, hyperspectral image classification, highly-dimensional classification problems, Electronic computers. Computer science, QA75.5-76.95 |
| الوصف: | This paper introduces the Fast Iterative Rule-based Linguistic Classifier (FaIRLiC), a Genetic Fuzzy Rule-Based Classification System (GFRBCS) which targets at reducing the structural complexity of the resulting rule base, as well as its learning algorithm's computational requirements, especially when dealing with high-dimensional feature spaces. The proposed methodology follows the principles of the iterative rule learning (IRL) approach, whereby a rule extraction algorithm (REA) is invoked in an iterative fashion, producing one fuzzy rule at a time. The REA is performed in two successive steps: the first one selects the relevant features of the currently extracted rule, whereas the second one decides the antecedent part of the fuzzy rule, using the previously selected subset of features. The performance of the classifier is finally optimized through a genetic tuning post-processing stage. Comparative results in a hyperspectral remote sensing classification as well as in 12 real-world classification datasets indicate the effectiveness of the proposed methodology in generating high-performing and compact fuzzy rule-based classifiers, even for very high-dimensional feature spaces. |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 18756891 1875-6883 |
| Relation: | https://www.atlantis-press.com/article/25867971.pdf; https://doaj.org/toc/1875-6883 |
| DOI: | 10.1080/18756891.2012.685290 |
| URL الوصول: | https://doaj.org/article/872fd6d728e143c8b1bf579b6578179b |
| رقم الانضمام: | edsdoj.872fd6d728e143c8b1bf579b6578179b |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 18756891 18756883 |
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| DOI: | 10.1080/18756891.2012.685290 |