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 :
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