Technometrics
Parameters for Utilitarian Desires in a Qualitative Decision Theory
Applied Intelligence
Formal Description of the Cognitive Process of Decision Making
ICCI '04 Proceedings of the Third IEEE International Conference on Cognitive Informatics
The Time-Complexity of Local Decision in Distributed Agreement
SIAM Journal on Computing
Improving group decision making: a fuzzy GSS approach
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Evaluating Sensor Reliability in Classification Problems Based on Evidence Theory
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A consensus model for multiperson decision making with different preference structures
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Effectiveness of visual interactive modeling in the context of multiple-criteria Group decisions
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
IEEE Transactions on Fuzzy Systems
Consensus models for AHP group decision making under row geometric mean prioritization method
Decision Support Systems
A mobile decision support system for dynamic group decision-making problems
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Expert Systems with Applications: An International Journal
Multi-attribute group decision making models under interval type-2 fuzzy environment
Knowledge-Based Systems
Maximum expert consensus models with linear cost function and aggregation operators
Computers and Industrial Engineering
Distance-based consensus models for fuzzy and multiplicative preference relations
Information Sciences: an International Journal
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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.