改进的正态灰云模型在物流路径选择中的应用-《集美大学学报（自然科学版）》

文章信息/Info

Title:: The Application of Improved Normal Cloud Model Based on Grey System in the Selection of Logistics Paths

Author(s):: LIU XiaojiaZHANG Ke; ZHANG Yanyan; (Navigation College,Jimei University,Xiamen 361021China)

Keywords:: triangle whitening functio; normal grey cloud model; clustering coefficient; route selection

摘要:: 针对传统灰云评估模型中云理论数据“软”划分中存在的不足，以及等级划分不规范，评估时存在较大的随机性及模糊性等问题，提出了改进的中心点正态灰云模型。该模型结合中心点三角白化权函数和云模型“软”划分的特点，改进得到优化后的评估灰类，克服了等级划分中数字特征偏离实际且不对称等问题。通过对应急物流路径方案评估分析，验证了该模型的实用性和有效性。

Abstract:: In view of the shortcomings of the ‘soft’division of the cloud theory data in traditional grey cloud model and the lack of standardization of hierarchical division,as well as issues such as randomness and fuzziness in the evaluation,this paper proposes an improved central point normal gray cloud model.According to the characteristics of triangle whitening functio and the “soft” division of the cloud model,it overcomes the problem of deviating from the actual and asymmetric digital features in the hierarchical division,and makes the evaluation clustering more standardized and effective.Through the analysis of the scheme of logistics routes,the validity and practicability of the model are verified