Design of a two-stage fuzzy classification model

TUNG FANG Institutional Repository > 電機工程系(數位科技系、玩具科) > 期刊論文 > Item 987654321/1395

jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://163.15.40.127/ir/handle/987654321/1395

题名:	Design of a two-stage fuzzy classification model
作者:	Li ,Tzuu-Hseng S. Guo, Nai-Ren Cheng, Chia-Ping 郭乃仁 (東方技術學院電機工程系)
贡献者:	東方技術學院電機工程系
关键词:	Fuzzy mode Classification problem Genetic algorithms Fuzzy feature extraction agent Adaptive grade mechanism
日期:	2008-10
上传时间:	2012-11-14 11:19:24 (UTC+8)
摘要:	This paper proposes a novel two-stagefuzzyclassificationmodel established by the fuzzy feature extraction agent (FFEA) and the fuzzyclassification unit (FCU). At first, we propose a FFEA to validly extraction the feature variables from the original database. And then, the FCU, which is the main determination of the classification result, is developed to generate the if–then rules automatically. In fact, both the FFEA and FCU are fuzzymodels themselves. In order to obtain better classification results, we utilize the genetic algorithms (GAs) and adaptive grade mechanism (AGM) to tune the FFEA and FCU, respectively, to improve the performance of the proposed fuzzyclassificationmodel. In this model, GAs are used to determine the distribution of the fuzzy sets for each feature variable of the FFEA, and the AGM is developed to regulate the confidence grade of the principal if–then rule of the FCU. Finally, the well-known Iris, Wine, and Glass databases are exploited to test the performances. Computer simulation results demonstrate that the proposed fuzzyclassificationmodel can provide a sufficiently high classification rate in comparison with other models in the literature.
關聯:	Expert Systems with Applications, no.35, pp.1482-1495
显示于类别:	[電機工程系(數位科技系、玩具科)] 期刊論文

文件中的档案:

没有与此文件相关的档案.

检视Licence

在TFIR中所有的数据项都受到原著作权保护.

TAIR相关文章

数据加载中.....