Design of adaptive fuzzy model for classification problem

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

研究成果: Article同行評審

9 引文 斯高帕斯(Scopus)

摘要

The main theme of this paper is to set up an adaptive fuzzy model for a new classification problem. At first, we propose a fuzzy classification model that can automatically generate the fuzzy IF-THEN rules by the features of the training database. The consequent part of the fuzzy IF-THEN rule consists of the confident value of the rule and which class the datum should belong to. Then a novel adaptive modification algorithm (AMA) is developed to tune the confident value of the fuzzy classification model. The proposed model comprises three modules, generation of the fuzzy IF-THEN rules, determination of the classification unit, and setup of the AMA. Computer simulations on the well known Wine and Iris databases have tested the performance. Simulations demonstrate that the proposed method can provide sufficiently high classification rate in comparison with other fuzzy classification models.

原文English
頁(從 - 到)297-306
頁數10
期刊Engineering Applications of Artificial Intelligence
18
發行號3
DOIs
出版狀態Published - 2005 4月

All Science Journal Classification (ASJC) codes

  • 控制與系統工程
  • 人工智慧
  • 電氣與電子工程

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