DocumentCode :
2170110
Title :
Comparison Based Group Ranking Outcome for Multiattribute Group Decisions
Author :
Chakraborty, Subrata ; Yeh, Chung-Hsing
Author_Institution :
Electr. Eng Comput. Sc Inf. Security Sch., QUT, Brisbane, QLD, Australia
fYear :
2012
fDate :
28-30 March 2012
Firstpage :
324
Lastpage :
327
Abstract :
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.
Keywords :
decision making; operations research; Spearman rank correlation; group ranking problems; multiattribute group decisions; group consensus; group decision; multiattribute decision making; rank similarity;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on
Conference_Location :
Cambridge
Print_ISBN :
978-1-4673-1366-7
Type :
conf
DOI :
10.1109/UKSim.2012.53
Filename :
6205468
Link To Document :
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