期刊
EXPERT SYSTEMS WITH APPLICATIONS
卷 38, 期 5, 页码 5205-5211出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.10.039
关键词
Multiple criteria decision analysis; TOPSIS; OWA; Distance-based ranking; Decision aggregation
类别
资金
- Natural Sciences Foundation (NSF) of China [70901040]
- Ph.D. Program Foundation of Ministry of Education of China [20093218120033]
- Natural Sciences and Engineering Research Council of Canada (NSERC)
A hybrid approach integrating OWA (Ordered Weighted Averaging) aggregation into TOPSIS (technique for order performance by similarity to ideal solution) is proposed to tackle multiple criteria decision analysis (MCDA) problems. First, the setting of extreme points (ideal and anti-ideal points) in TOPSIS is redefined and extended for handling the multiple extreme points situation where a decision maker (DM) or multiple DMs can provide more than one pair of extreme points. Next, three different aggregation schemes are designed to integrate OWA into the TOPSIS analysis procedure. A numerical example is provided to demonstrate the proposed approach and the results are compared for different aggregation settings and confirm the robustness of rankings from different scenarios. (C) 2010 Elsevier Ltd. All rights reserved.
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