Journal
EXPERT SYSTEMS WITH APPLICATIONS
Volume 38, Issue 5, Pages 5205-5211Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.eswa.2010.10.039
Keywords
Multiple criteria decision analysis; TOPSIS; OWA; Distance-based ranking; Decision aggregation
Categories
Funding
- 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)
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available