A Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm

Статья в журнале

This paper concerns several important topics of the Symmetry journal, namely, pattern recognition, computer-aided design, diversity and similarity. We also take advantage of the symmetric and asymmetric structure of a transfer function, which is responsible to map a continuous search space to a binary search space. A new method for design of a fuzzy-rule-based classifier using metaheuristics called Gravitational Search Algorithm (GSA) is discussed. The paper identifies three basic stages of the classifier construction: feature selection, creating of a fuzzy rule base and optimization of the antecedent parameters of rules. At the first stage, several feature subsets are obtained by using the wrapper scheme on the basis of the binary GSA. Creating fuzzy rules is a serious challenge in designing the fuzzy-rule-based classifier in the presence of high-dimensional data. The classifier structure is formed by the rule base generation algorithm by using minimum and maximum feature values. The optimal fuzzy-rule-based parameters are extracted from the training data using the continuous GSA. The classifier performance is tested on real-world KEEL (Knowledge Extraction based on Evolutionary Learning) datasets. The results demonstrate that highly accurate classifiers could be constructed with relatively few fuzzy rules and features.

Журнал:

Symmetry
MDPI (Basel)
Индексируется в Scopus, Web of Science

Библиографическая запись: Fuzzy Classifier with Feature Selection Based on the Gravitational Search Algorithm / Bardamova M. [et. al.] // Symmetry. – 2018. – Vol. 10. – Is. 11. – С. 609. – DOI: 10.3390/sym10110609

Ключевые слова:

ОТБОР ПРИЗНАКОВ FEATURE SELECTION FUZZY-RULE-BASED CLASSIFIER GRAVITATIONAL SEARCH ALGORITHM METAHEURISTICS НЕЧЕТКИЙ КЛАССИФИКАТОР ГРАВИТАЦИОННЫЙ АЛГОРИТМ АЛГОРИТМ ГРАВИТАЦИОННОГО ПОИСКА

Индексируется в:

Авторы: Бардамова М. Б., Конев А. А., Ходашинский И. А., Шелупанов А. А.

Год издания: 2018

Страницы: 609 - 609

Язык: Английский

DOI: 10.3390/sym10110609