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The MAUT based CARBS System using Belief Functions: Ranking US National League Baseball Teams

Beynon, Malcolm James 2004. The MAUT based CARBS System using Belief Functions: Ranking US National League Baseball Teams. Presented at: The 17th International Conference on Multiple Criteria Decision Making, Whistler, BC, Canada, 6-11 August 2004.

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Abstract

This paper exposits a novel MAUT technique, named CaRBS, which is able to preference rank a number of alternatives. Fundamentally based around the Dempster-Shafer theory of evidence (DST), the quantification of evidential preference from different criteria is based on belief functions. The use of simplex plots advocates the role of CaRBS as a visual decision support system. The subsequent ranking of alternatives can be based on DST related belief and plausibility measures. Results on the ranking of US baseball teams are presented and shown to be comparable to published work using SMART and PROMETHEE as well as positively demonstrating the use of CaRBS as a tool in group decision making.

Item Type: Conference or Workshop Item (Paper)
Date Type: Completion
Status: Unpublished
Schools: Business (Including Economics)
Subjects: G Geography. Anthropology. Recreation > GV Recreation Leisure
Q Science > QA Mathematics
Uncontrolled Keywords: Dempster-Shafer theory; Ignorance; Ranking; Simplex plot
Related URLs:
Last Modified: 04 Jun 2017 04:22
URI: http://orca-mwe.cf.ac.uk/id/eprint/37684

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