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New comprehensive evaluation algorithm based on fuzzy clustering and information entropy

ZHANG Yun-kai~1, WANG Fang-wei~1,DAI Jing-shu~2 ,HUANG Wen-yan~3,CHEN Yan-hong~4(1.Network Center Hebei Normal University,Shijiazhuang 050016,China;2.News Center,Hebei Television Station,Shijiazhuang 050031,China;3.College of Mathematics and Information Science, Hebei Normal University,Shijiazhuang 050016,China;4.QingHuangDao Foreign Language Professional College, Qinghuangdao 066311,China)  
Aims at inconsistent leitmotiv in current comprehensive evaluation technology,neglects the problem of succinctness and validity,analyzes the ago algorithms in the foundation,propases a comprehensive evaluation algovithm based on fuzzy dustering and information entropy.This algorithm hurdles flaws of original algorithms, has a good practicabitity.The validity of this algorithm has been validated through the actual data.
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