The Application of Membership Degree Transformation New Algorithm in Military Transportation Performance Evaluation

被引：0

作者：

Liu, Kai-di ^{[1
]}

Wang, Jin ^{[1
]}

Ruan, Jun-hu ^{[2
]}

机构：

[1] Hebei Univ Engn, Inst Uncertainty Math, Handan, Peoples R China

[2] Hebei Univ Engn, Handan, Peoples R China

来源：

2009 IITA INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS ENGINEERING, PROCEEDINGS | 2009年

关键词：

military transportation performance; fuzzy evaluation; membership degree transformation; distinguishable weight; effective value;

D O I：

10.1109/CASE.2009.35

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The core of performance fuzzy evaluation is membership degree transformation. But the transformation methods should be questioned, because redundant data in index membership degree is also used to compute object membership degree, which is not useful for object classification. The new algorithm is: using data mining technology based on entropy to mine knowledge information about object classification hidden in every index, affirm the relationship of object classification and index membership, eliminate the redundant data in index membership for object classification by defining distinguishable weight and extract valid values to compute object membership. The paper applied the new algorithm in the fuzzy evaluation on military transportation performance.

引用

页码：21 / +

页数：3

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