Application of Grey Cluster Method in Aviation Equipment Support Characteristics Evaluation
Received:November 12, 2012  Revised:March 01, 2013
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KeyWord:aviation equipment  support characteristics  improved grey cluster  evaluation
              
AuthorInstitution
SHI Feng-long Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao,China
ZHAO Gong-wei Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao,China
ZHU Hua-yuan Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao,China
WANG Li-ming Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao,China
LIU Jun-ying Qingdao Branch of Naval Aeronautical Engineering Academy,Qingdao,China
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Abstract:
      Selection of evaluation method scientifically and efficiently is one of important taches of application test and estimation. Insufficiency of triangular whitenization weight function was analyzed. Fixed weight cluster evaluation model based on improved trapezoidal whitenization weight function was established by using and improving trapezoidal whitenization weight function. The model provided a good solution to the problems of influence of adjacent several categories clustering center and difference of gray interval length. The model was applied for aviation equipment support characteristic index assessment. The results showed that this method is scientific and effective.
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