Enhanced hierarchical fuzzy model using evolutionary GA with modified ABC algorithm for classification problem

Ting Cheng Feng, Tsung Ying Chiang, Tzuu-Hseng S. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper enhances the hierarchical fuzzy model to deal with the classification problems by adopting evolutionary genetic algorithm (GA) with a modified artificial bee colony (ABC) algorithm. Traditionally, fuzzy classifier could not provide a sufficiently high classification rate in higher feature dimension with few rules. In the literature, the genetic algorithm can take advantage from the global searching; moreover, the characteristic of ABC can enhance the local searching. Therefore, the hierarchical fuzzy model integrates GA with a modified ABC algorithm is constructed in this study to recognize some classification problems. The classification simulation includes three benchmark databases such as Glass, Wine, and Iris database. The result demonstrates that using evolutionary GA and modified ABC algorithm is beneficial than that without turning. Therefore, it is clearly that our methodology considers not only the global exploration but also the local exploitation.

Original languageEnglish
Title of host publicationICCSS 2015 - Proceedings
Subtitle of host publication2015 International Conference on Informative and Cybernetics for Computational Social Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages40-44
Number of pages5
ISBN (Electronic)9781467372459
DOIs
Publication statusPublished - 2015 Sep 28
EventInternational Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2015 - Chengdu, Sichuan, China
Duration: 2015 Aug 132015 Aug 15

Publication series

NameICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems

Other

OtherInternational Conference on Informative and Cybernetics for Computational Social Systems, ICCSS 2015
CountryChina
CityChengdu, Sichuan
Period15-08-1315-08-15

All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Information Systems

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    Feng, T. C., Chiang, T. Y., & Li, T-H. S. (2015). Enhanced hierarchical fuzzy model using evolutionary GA with modified ABC algorithm for classification problem. In ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems (pp. 40-44). [7281146] (ICCSS 2015 - Proceedings: 2015 International Conference on Informative and Cybernetics for Computational Social Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCSS.2015.7281146