Skip to main navigation Skip to search Skip to main content

Comparison Based Group Ranking Outcome for Multiattribute Group Decisions

Subrata Chakraborty, Chung-Hsing Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

13 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2012 UKSim 14th International Conference on Computer Modelling and Simulation
Place of PublicationLos Alamitos, United States of America
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages324-327
ISBN (Print)9781467313667
DOIs
Publication statusPublished - 28 May 2012
EventUKSim 2012: 14th International Conference on Computer Modelling and Simulation - Cambridge, United Kingdom
Duration: 28 Mar 201230 Mar 2012

Conference

ConferenceUKSim 2012: 14th International Conference on Computer Modelling and Simulation
CityCambridge, United Kingdom
Period28/03/1230/03/12

Fingerprint

Dive into the research topics of 'Comparison Based Group Ranking Outcome for Multiattribute Group Decisions'. Together they form a unique fingerprint.

Cite this