模糊条件下机动车尾气含量模型  

The Fuzzy Model of Vehicle Exhause Emission

作　　者：李瑞娟[1] 张丽媛[1] LI Rui -juan;ZHANG Li - yuan(College of Mathematics ＆ Information Science, Langfang Teachers College, Langfang Hebei 065000, Chin)

机构地区：[1]廊坊师范学院数信学院,河北廊坊065000

出　　处：《长春师范大学学报》2018年第2期12-15,共4页Journal of Changchun Normal University

基　　金：廊坊市科技局项目"廊坊市机动车对空气污染问题的数学模型的研究"(2015011019)

摘　　要：在模糊环境下,基于可能性理论,针对机动车尾气对城市空气污染造成的影响,建立了给定置信水平下的最大空气污染物含量模型,并给出了模型的算法,最后通过廊坊市机动车监测数据计算出实际污染物含量和在给定置信水平下的机动车最大污染物含量,通过比较验证了算法的可行性。A model with the given confidence level is established to cope with vehicle exhause emission in air pollution of city,which based on possibility theory in fuzzy. Then,an algorithm is proposed to deal with the model. Finally,the feasibility of the algorithm is tested through a numerica example,which compared with the actual content and calculated content by the monitoring data of motor vehicle in Langfang.

关 键 词：可能性理论 置信水平 绝对误差 隶属函数 

分 类 号：F406.7[经济管理—产业经济]