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Mathematical Problems in Engineering
Volume 2013, Article ID 725017, 13 pages
Research Article

Identification of Fuzzy Inference Systems by Means of a Multiobjective Opposition-Based Space Search Algorithm

1State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing 100191, China
2School of Computer and Communication Engineering, Tianjin University of Technology, Tianjin 300384, China
3Department of Electrical Engineering, The University of Suwon, San 2-2, Wau-ri, Bongdam-eup, Gyeonggi-do, Hwaseong-si 445-743, Republic of Korea

Received 2 January 2013; Revised 25 February 2013; Accepted 25 February 2013

Academic Editor: Zhuming Bi

Copyright © 2013 Wei Huang and Sung-Kwun Oh. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [3 citations]

The following is the list of published articles that have cited the current article.

  • Hiram Ponce, Pedro Ponce, and Arturo Molina, “Artificial Hydrocarbon Networks Fuzzy Inference System,” Mathematical Problems in Engineering, vol. 2013, pp. 1–13, 2013. View at Publisher · View at Google Scholar
  • Xiaoliang Ma, Fang Liu, Yutao Qi, Maoguo Gong, Minglei Yin, Lingling Li, Licheng Jiao, and Jianshe Wu, “MOEA/D with opposition-based learning for multiobjective optimization problem,” Neurocomputing, 2014. View at Publisher · View at Google Scholar
  • Bin Lü, Hai-Jun Su, and De-Ming Li, “Fuzzy identification of T-S model for beam stability control for electron gun,” Nuclear Science and Techniques, vol. 26, no. 5, 2015. View at Publisher · View at Google Scholar