Forecasting Research of Emergency Supplies Demand Based on the Case of Fuzzy Reasoning
Changfeng Zhu · Journal of Lanzhou Jiaotong University · 2013
Emergency supplies are the material foundation and basic guarantee for emergency rescue work.How to accurately forecast demand for disaster emergency supplies directly relate to the progress and efficiency of emergency rescue work.The case of characteristic factor's membership degrees were taken into consideration in the paper.And Hebb learning rules were applied to the paper to adjust the characteristic factors' value.The similarity between cases was calculated to find the best similar case.Case-fuzzy reasoning method to solve the materials demand forecasting model has been given in the paper.Finally,the feasibility and reasonableness of the method were analyzed.This method solved emergency supplies demand forecast under imprecision information condition and provided a theory of reference for emergency decision makers.