q Feature Selection Based on Function Model of Game Fusion

被引：0

作者：

Gu, Lin ^{[1
]}

Zeng, Yang ^{[1
]}

Johnson, Shardrom ^{[2
]}

Hsu, Daniel ^{[1
]}

机构：

[1] Shanghai Univ, Sch Comp Engn & Sci, Shanghai 200444, Peoples R China

[2] Shanghai Municipal Educ Commiss, Informat Ctr, Shanghai 200003, Peoples R China

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON ELECTRIC AND ELECTRONICS | 2013年

基金：

中国国家自然科学基金;

关键词：

game theory; information fusion; feature selection;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The paper introduces a new method of feature selection through the function model of game fusion. We use the traditional three steps of accomplishing feature selection by the fusion model: Firstly, fusion model can preprocess the input information, classify the information into conflict data, redundant data and complementary data, and filter the conflict data. Then, it transmits the preprocessed data to the modules of the information center. Finally, fusion model achieves the optimal situation through the fusion algorithm. We discover the complexity of these three steps will be high when the size of features is huge. Therefore, we draw on the experience of feature division and reduce the size of strategy set from power set of features to the features set.

引用

页码：123 / 126

页数：4

共 16 条

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