计算机工程与应用2018，Vol.54Issue(10)：256-266,11.DOI:10.3778/j.issn.1002-8331.1612-0345
不确定条件下报废汽车回收率云模型仿真研究
Application of cloud model simulation in study of recycling rate of ELV under uncertain condition
摘要
Abstract
Currently,the recycling of End-of-Life Vehicles(ELVs)is driven not only by economic and technological fac-tors,but also by global energy,environmental,and social concerns.This paper uses interpretative structural modeling to analyze ELV recycling systems in order to predict the dependence of the recycling ratio on various factors such as consumer behavior,enterprise preference,government policy,etc.In this methodology,a normal cloud model is proposed by analyz-ing each factor's uncertainty using fuzzy language concepts.Then,a multi-dimensional reasoning system and multi-rule deductive systems are established to describe relationships among these factors.In addition,from the system simulation, the results of this paper offer a reasonable prediction of the recycling ratio via formal and illegal recycling channels under different base uncertainty factors such as national legal regulation,financial input,and consumer attitude towards remanu-factured products.关键词
回收率/不确定性/解释结构模型/云模型Key words
recycling ratio/uncertainty/Interpretative Structural Modeling(ISM)/cloud model分类
信息技术与安全科学引用本文复制引用
李珣,邓乾旺,刘俊武..不确定条件下报废汽车回收率云模型仿真研究[J].计算机工程与应用,2018,54(10):256-266,11.基金项目
国家自然科学基金(No.71473077). （No.71473077）
