Research on Capability Evaluation of the Emergency Logistics Center with Fuzzy Clustering and Extension of TOPSIS Method in the Context of Network

摘要

Emergency logistics center is the key node of emergency logistics network to achieve a effective dispatching and distribution of emergency supplies under unconventional emergency. The selection of capability index in the context of network has a very important role for the construction of emergency logistics center. In this study, the pre-selected indexes for emergency logistics capacity assessment was classified based on the fuzzy clustering analysis method, to get rid of unreasonable indexes and identified emergency logistics center key elements of evaluation capacity, constructed a reasonable evaluation index system. On the basis of the index system, the evaluation value of the expert linguistic variables is transformed into interval number , the maximum deviation method is used to determine the attribute index weight and finally extendable TOPSIS method is used to calculate the distance between the ideal solutions and negative ideal solutions in each scheme and calculate the relative close degree, according to which the arranging order of each scheme is determined and thus provides an important basis for the construction of emergency logistics center and its performance evaluation in the unconventional emergencies.