Hierarchical fuzzy model for classification problem

Nai Ren Guo, Tzuu Hseng S. Li, Chao Lin Kuo

研究成果: Paper

2 引文 斯高帕斯(Scopus)

摘要

This paper proposes a new methodology to solve the classification problem, where the fuzzy IF-THEN rule with hierarchy framework is utilized. The number of rules and the correct classification rate are the essential requirements for classification problem. The proposed scheme can acquire higher classification rale with few fuzzy partitions and fuzzy rules. The developed model comprises two stages; one is generation of fuzzy IF-THEN rules for the subsystems and the other is to determine the decision unit. The performance has been tested by computer simulations on the well-known Wine and Iris databases. Simulations demonstrate that our method under a few rules can provide sufficiently high classification rate even with higher feature dimension.

原文English
頁面2096-2101
頁數6
出版狀態Published - 2002 十二月 1
事件Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain
持續時間: 2002 十一月 52002 十一月 8

Other

OtherProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society
國家Spain
城市Sevilla
期間02-11-0502-11-08

    指紋

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

引用此

Guo, N. R., Li, T. H. S., & Kuo, C. L. (2002). Hierarchical fuzzy model for classification problem. 2096-2101. 論文發表於 Proceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society, Sevilla, Spain.