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

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3 Author(s)
Kai-di Liu ; Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China ; Jin Wang ; Jun-hu Ruan

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.

Published in:

Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on

Date of Conference:

11-12 July 2009