Ranking environmental projects model based on multicriteria decision-making and the weight sensitivity analysis

作     者：Jiang Yan Tian Dagang Pan Yue 

作者机构：Coll. of Management Univ. of Shanghai for Science and Technology Shanghai 200093 P. R. China Dept. of Control Science and Engineering Huazhong Univ. of Science and Technology Wuhan 430074 P. R. China 

出 版 物：《Journal of Systems Engineering and Electronics》 (系统工程与电子技术（英文版）)

年 卷 期：2007年第18卷第3期

页      面：534-539页

核心收录：

学科分类：12[管理学] 120202[管理学-企业管理（含：财务管理、市场营销、人力资源管理）] 0202[经济学-应用经济学] 02[经济学] 1202[管理学-工商管理] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 

基　　金：Shanghai Leading Academic Discipline Project (T0502) Shanghai Municipal Educational Commission Project (05EZ32) 

主　　题：multicriteria decision-making ranking environmental projects model PROMETHEE method sensitivity analysis weight stability intervals. 

摘      要：With the fast growth of Chinese economic, more and more capital will be invested in environmental projects. How to select the environmental investment projects （alternatives） for obtaining the best environmental quality and economic benefits is an important problem for the decision makers. The purpose of this paper is to develop a decision-making model to rank a finite number of alternatives with several and sometimes conflicting criteria. A model for ranking the projects of municipal sewage treatment plants is proposed by using exports＇ information and the data of the real projects. And, the ranking result is given based on the PROMETHEE method. Furthermore, by means of the concept of the weight stability intervals （WSI）, the sensitivity of the ranking results to the size of criteria values and the change of weights value of criteria are discussed. The result shows that some criteria, such as “proportion of benefit to project cost, will influence the ranking result of alternatives very strong while others not. The influence are not only from the value of criterion but also from the changing the weight of criterion. So, some criteria such as “proportion of benefit to project cost are key critera for ranking the projects. Decision makers must be cautious to them.