4Milioli M A.Fuzzy clustering and consensus methods:An application to the analysis of Italian banks[J].Applied Stochastic Models in Business and Industry, 1999,15 : 89-95.
5Xu R,Wunsch II D.Survey of clustering algorithms[J].IEEE Transactions on Neural Networks,2005,16(3 ) : 645-678.
6Windham M P.Cluster validity for fuzzy clustering algorithms[J]. Fuzzy Sets and Systems,1981,5(2):177-185.
7Kwon S H.Cluster validity index for fuzzy clustering[J].Electronic Letters, 1998,34(22 ) : 2176-2177.
8Vapnik V. The nature of statistical learning theory [ M ]. New York: Wiley, 1998.
9Burges C. A tutorial on support vector machines for pattern recogniton [ J ]. Data Mining and Knowledge Discovery, 1998, 2(2) : 121 - 167.
10Hsu C W, Lin C J. A comparison of method for multi-class support vector machines [ J]. IEEE Trans. Neural Networks, 2002, 13(2) :415 - 425.
8Dong Quanzhou, Zhao Qilan. Research on classification of e- mergency materials [ J]. Logistics System and Intelligent Man- agement, 2010 ( 2 ) : 664 - 668.
9Jiang Dali, Zhao Zhenhua, Zhang Li. A study on the reserve mode of emergency materials based on fuzzy clustering and multi - support vector machine [ J ]. Advanced Materials and In- formation Technology Processing,2013 ( 87 ) : 812 - 818.