Minimum Cost Consensus With Quadratic Cost Functions

被引:243
作者
Ben-Arieh, David [1 ]
Easton, Todd [1 ]
Evans, Brandon [2 ]
机构
[1] Kansas State Univ, Dept Ind & Mfg Syst Engn, Manhattan, KS 66506 USA
[2] Lockheed Martin Aeronaut Co, Ft Worth, TX 76101 USA
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS | 2009年 / 39卷 / 01期
关键词
Distributed decision making; group decision making; multiple experts; GROUP DECISION-MAKING; MODEL;
D O I
10.1109/TSMCA.2008.2006373
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
收藏
页码:210 / 217
页数:8
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