Choquet integral-based decision making approach for robot selection
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS, vol.3682, pp.635-641, 2005 (SCI-Expanded)
- Publication Type: Article / Article
- Volume: 3682
- Publication Date: 2005
- Journal Name: KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 2, PROCEEDINGS
- Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED)
- Page Numbers: pp.635-641
- Galatasaray University Affiliated: Yes
Abstract
This paper addresses the robot selection problem by using a multicriteria decision making approach based on the Choquet integral. The key feature of the Choquet integral is that it can incorporate interaction among attributes into the decision analysis, an issue that has been generally overlooked in earlier robot selection studies. The proposed decision framework makes use of the information previously elicited from experts analyzing a reference set of robot alternatives with the same selection criteria as in the current evaluation, and applies the Choquet integral to determine the most suitable robot. A comprehensive illustrative example is presented using a previously published data set, and the results obtained using the proposed approach are compared with those of another multi-criteria decision aid, which has been also employed in earlier studies addressing robot selection.