Title :
The Application of Membership Degree Transformation New Algorithm in Military Transportation Performance Evaluation
Author :
Liu, Kai-Di ; Wang, Jin ; Ruan, Jun-Hu
Author_Institution :
Instn. of Uncertainty Math., Hebei Univ. of Eng., Handan, China
Abstract :
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.
Keywords :
data mining; entropy; fuzzy logic; fuzzy set theory; logistics data processing; pattern classification; transportation; data mining technology; entropy method; fuzzy logical system; fuzzy set theory; hierarchical evaluation index system; knowledge information mining; military logistics activity; military transportation; object classification; object membership degree transformation algorithm; performance fuzzy evaluation; redundant data; Automatic control; Classification algorithms; Costs; Data mining; Entropy; Fuzzy systems; Logistics; Mathematics; Military computing; Transportation; distinguishable weight; effective value; fuzzy evaluation; membership degree transformation; military transportation performance;
Conference_Titel :
Control, Automation and Systems Engineering, 2009. CASE 2009. IITA International Conference on
Conference_Location :
Zhangjiajie
Print_ISBN :
978-0-7695-3728-3
DOI :
10.1109/CASE.2009.35
