文献类型：期刊文献

英文题名：Ranking range model in multiple attribute decision making: A comparison of selected methods

作者：Liu, Yating[1];Sun, Zhengwei[2];Liang, Haiming[3];Dong, Yucheng[3,4,5]

机构：[1]Xian Univ Technol, Sch Econ & Management, Xian 710048, Peoples R China;[2]East China Univ Sci & Technol, Dept Management Sci & Engn, Shanghai 200237, Peoples R China;[3]Sichuan Univ, Business Sch, Chengdu 610065, Peoples R China;[4]Hubei Univ Econ, Sch Informat Management & Stat, Wuhan 430205, Peoples R China;[5]Shenzhen Inst Informat Technol, Sch Management, Shenzhen 518172, Peoples R China

年份：2021

卷号：155

外文期刊名：COMPUTERS & INDUSTRIAL ENGINEERING

收录：;EI(收录号：20210909981146);WOS:【SSCI(收录号:WOS:000645096600021)，SCI-EXPANDED(收录号:WOS:000645096600021)】；

基金：This work was supported by the National Natural Science Foundation of China [Nos. 71871149, 71901174 and 71971149]; the Sichuan University [Nos. sksyl201705 and 2018hhs-58]; the Natural Science Foundation of Shaanxi Province [No. 2020JQ-654]; and the Natural Science Foundation of Shaanxi Provincial Department of Education [No. 20JK0809].

语种：英文

外文关键词：Multiple attribute decision making; Attribute weights vector; Ranking range; Strategic weight manipulation; Comparison

摘要：Multiple attribute decision making (MADM) approaches have been investigated extensively for ranking the alternatives related to multiple attributes. In most existing MADM approaches, attribute weights play a key role due to the fact that the ranking of alternatives may changes with attribute weights vector. Ranking range can be used to measure the lower and upper bounds of all possible rankings of alternatives when attribute weights are varying. In the paper, we investigate the ranking range for the selected seven popular MADM approaches: Weighted averaging (WA), weighted geometric averaging (WGA), ordered weighted averaging (OWA), ordered weighted geometric averaging (OWGA), TOPSIS, PROMETHEE and ELECTRE. Through determining the ranking ranges of alternatives, associated with attribute weights, in the selected seven approaches, we present several desirable properties of the ranking range. Then, we design the simulation experiments with either random or real data to compare the ranking range for selected seven MADM approaches. Interestingly, the experiment results clearly show that TOPSIS>ELECTRE>PROMETHEE(similar to)WA>WGA>OWA>OWGA in the average sense, where '>' denotes the larger ranking range, and '(similar to)' denotes no difference in the ranking range. A larger ranking range means an easier to manipulate the ranking of alternatives, and also means a worse robustness of a MADM approach.