(1. School of Managemente, Harbin Institute of Technology University,150001 Harbin, China; 2. School of Architecture, Harbin Institute of Technology University,150001 Harbin, China)
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Abstract:
Optimizing and improving the ability of emergency material collection is a main purpose for evaluating the adaptation of emergency material collection network. Based on evaluation indexes of emergency material collection network(EMCN), the intelligent evaluation system of improved compensatory fuzzy neural network (CFNN) is introduced to evaluate the adaptation of emergency material collection network, and to solve problems of the fuzzy and non-linear from emergency cost, emergency time and stability of emergency material collection network. Simulation experiments show that the improved CFNN is an effective mean to evaluate the suitability of emergency material collection network with a fast convergence, a high fault tolerance and an adaptive ability.