Hierarchical fuzzy model for classification problem

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

Research output: Contribution to conferencePaperpeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Number of pages6
Publication statusPublished - 2002 Dec 1
EventProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society - Sevilla, Spain
Duration: 2002 Nov 52002 Nov 8


OtherProceedings of the 2002 28th Annual Conference of the IEEE Industrial Electronics Society

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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