Comparison based group ranking outcome for multiattribute group decisions

Chakraborty, Subrata and Yeh, Chung-Hsing (2012) Comparison based group ranking outcome for multiattribute group decisions. In: 14th International Conference on Computer Modelling and Simulation, 28-30 Mar 2012, Cambridge, UK.


A novel group consensus methodology for group ranking problems is presented in this paper. The method considers all the possible ranking outcomes for a given set of decision alternatives. Decision makers are given the freedom to provide their own ranking outcomes using their chosen ranking methods. Spearman's rank correlation is then used to calculate the overall similarity for each of the possible ranking outcomes. The overall similarity for each ranking outcome in the solution space is calculated using its similarities to the ranking outcomes given by the decision makers. The ranking outcome in the solution space which is most similar to the decision makers ranking outcomes is the most preferred one by the group.

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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Files associated with this item cannot be displayed due to copyright restrictions.
Faculty / Department / School: Historic - Faculty of Business and Law - School of Management and Marketing
Date Deposited: 24 May 2016 06:01
Last Modified: 15 Aug 2017 01:02
Uncontrolled Keywords: group consensus; group decision; multiattribute decision making; rank similarity
Fields of Research : 08 Information and Computing Sciences > 0806 Information Systems > 080605 Decision Support and Group Support Systems
Socio-Economic Objective: E Expanding Knowledge > 97 Expanding Knowledge > 970108 Expanding Knowledge in the Information and Computing Sciences
Identification Number or DOI: 10.1109/UKSim.2012.53

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