Fuzzy Dynamic Clustering of Mold Grid Resources Based on F-test

نویسندگان

  • FANXIN KONG
  • HONGYAN HAO
  • JIANMIN ZUO
چکیده

Fuzzy dynamic clustering algorithm of mold grid resources associated with the total lifecycle of mold based on F-test was constructed in this paper. To classify and establish mold manufacturing grid resources conveniently, this paper divides mold grid resources into seven types. Generally time (T), quality (Q), cost (C), service (S), reputation (R), liability (L) and environment (E) are chosen to be evaluation criterion for mold grid resources, according to the requirement of different manufacturing system. The weight of each index was calculated with AHP, and then mold grid resources are clustered and identified by fuzzy cluster method on the base of these. A reasonable classification number by using Ftest is found, and best resources classification is obtained and similarity-based resources are clustered. Finally, simulation experiments are carried out with specific application for mold grid resources classification. The results show that the method is effective, and the paper applies fuzzy cluster analysis to sort the gird resources reasonably. It can improve search speed and utilization of mold grid resources, and the response time can be decreased in resources selection.

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تاریخ انتشار 2012