A multi-criteria group decision algorithm for policy analysis

Yun Shi, Bart Van Gasse, Da Ruan, Etienne Kerre, Jan Wagemans

Research outputpeer-review

Abstract

Policy analysis involves many different social actors. For example, an energy policy involves the social actors of environment, human health and safety, economic welfare, social, political and culture needs. Multi-criteria group decision making approaches provide a framework to assemble various experts' evaluations for the various policy options and lead to a final judgment. In this paper we propose an algorithm that ranks m policy options for partitioned subsets of experts based on the n experts' evaluations for the policy options w.r.t. the l social actors. This algorithm contains three procedures. In the first we obtain an n x m evaluation matrix for the m policy options w.r.t. n experts based on their evaluation for the l social actors. In the second we artition the experts into several subsets such that each subset of experts has the minimal internal con icts w.r.t. the policy options. In the third we rank for each subset of experts the m policy options. In this algorithm we also consider the weight of each expert.
Original languageEnglish
Title of host publicationComputational Intelligence – Foundations and Applications
Place of PublicationSingapore, Singapore
Pages832-837
Volume1
StatePublished - Aug 2010
Event2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence - Chengdu
Duration: 2 Aug 20104 Aug 2010
Conference number: FLINS 2010

Publication series

NameComputer Engineering and Information Science
Number4

Conference

Conference2010 - 9th International FLINS Conference on Foundations and Applications of Computational Intelligence
Country/TerritoryChina
CityChengdu
Period2010-08-022010-08-04

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