Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm

LIU Ru-jie; YUAN Bao-zong; TANG Xiao-fang

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Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm

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- Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm
- Acta Electronica Sinica Vol. 30, Issue 1, Pages: 145-147(2002)
- 作者机构：
  
  1. 北方交通大学信息科学研究所,北京,100044
  2. 富士通研究所开发中心有限公司,北京,100044
  3. 北方交通大学信息科学研究所北京,100044
  4. 富士通研究所开发中心有限公司北京,100044
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2002
- 稿件说明：
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LIU Ru-jie, YUAN Bao-zong, TANG Xiao-fang. Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm[J]. Acta Electronica Sinica, 2002, 30(1): 145-147.
DOI：

LIU Ru-jie, YUAN Bao-zong, TANG Xiao-fang. Multiple Classifiers Fusion Algorithm with the Fuzzy Measures Determined by Genetic Algorithm[J]. Acta Electronica Sinica, 2002, 30(1): 145-147. DOI：

摘要

由于模糊理论可以很好的表达和处理不确定性问题

因而得到了广泛的应用

并成为信息融合领域中的有效方法.只要选取合适的模糊测度值

基于模糊积分的多分类器融合方法就可以达到比最优的单分类器更好的分类效果.用遗传算法来计算模糊测度的值时

可以得到解空间中的最优解

从而实现比非优化方法更好的融合效果.模拟实验结果也证实了这一点.

Abstract

Fuzzy set methods have recently achieved a high degree of popularity due to its ability of representing and managing uncertainty

and become an effective method in information fusion fields.If the values of fuzzy measure

which can be got through optimization method

are appropriate

multiple classifier fusion method based on fuzzy integral performs better than the best classifier.In this paper

the Genetic Algorithm is adopted to search the optimized values of fuzzy measure

thus a satisfied fusion result better than that without GA can be obtained

as was verified in the experiment.

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Related Institution

Institute of Geo-Spacial Information Science,Hunan University of Science and Technology

ATR National Laboratory,National University of Defence Technology

School of Info-Physics and Geomatics Engineering,Central South University

Institute of Geo-Spacial Information ScienceHunan University of Science and TechnologyXiangtanHunan 411201China

ATR National LaboratoryNational University of Defence TechnologyChangshaHunan 410073China

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