文章基本信息

标题：Design of a Fuzzy Linear Regression Model for Forecasting Transport Energy Demand: a case study of Iran
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作者：Mohammad Reza Taghizadeh Yazdi ; Hamed Shakouri Ganjavi ; Mohammad Bagher Menhaj 等
期刊名称：Industrial Management
印刷版ISSN：2008-5885
电子版ISSN：2423-5369
出版年度：2015
卷号：6
期号：1
页码：23-34
出版社：University of Tehran Electronic Journals Database
摘要：In this paper, the energy demand of transport sector from 1385 to 1400 is forecasted based on Fuzzy Linear Regression (FLR) approach considering economic and social indicators. In order to analyze the influence of economic and social indicators on energy demand of transport sector, Gross Domestic Product (GDP), population and the total number of vehicles in 1372-1384 were regarded. In this research, the energy consumption may achieve a level of 625 MBOE per year by 1400.The results compared with the multiple regression method reveal much less mistakes. The average absolute error percentage reached from 12.33 % to 5.72 %.
关键词：Fuzzy linear regression;Transport energy demand;Forecasting