DocumentCode
1019531
Title
Minimum Cost Consensus With Quadratic Cost Functions
Author
Ben-Arieh, David ; Easton, Todd ; Evans, Brandon
Author_Institution
Dept. of Ind. & Manuf. Syst. Eng., Kansas State Univ., Manhattan, KS
Volume
39
Issue
1
fYear
2009
Firstpage
210
Lastpage
217
Abstract
Group consensus is an important method for making business decisions. In this paper, the consensus process is defined as a dynamic and interactive group decision process, which is coordinated by a moderator who helps the experts to gradually move their opinions closer to each other. This paper describes the importance of group consensus and the need to minimize the cost of this process. Furthermore, this paper describes the costs associated with decision making using group consensus and then describes three methods of reaching consensus assuming quadratic costs for a single-criterion decision problem. The first method finds the group opinion (consensus) that yields the minimum cost of reaching throughout the group. The second method finds the opinion with the minimum cost of the consensus provided that all experts must be within a given distance of the group opinion. The last method finds the maximum number of experts that can fit within the consensus, given a specified budget constraint.
Keywords
commerce; decision making; decision theory; business decision; decision making; group consensus; interactive group decision process; quadratic cost function; single-criterion decision problem; Distributed decision making; group decision making; multiple experts;
fLanguage
English
Journal_Title
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
Publisher
ieee
ISSN
1083-4427
Type
jour
DOI
10.1109/TSMCA.2008.2006373
Filename
4696004
Link To Document