Group decision support with the analytic hierarchy process
Decision Support Systems
Computers and Operations Research - Special issue on artificial intelligence and decision support with multiple criteria
A new collaborative system framework based on a multiple perspective approach: InteliTeam
Decision Support Systems - Special issue: Collaborative work and knowledge management
How to Improve Collaborative Decision Making in the Context of Knowledge Management
Proceedings of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges
An approach to group ranking decisions in a dynamic environment
Decision Support Systems
Robust ordinal regression for multiple criteria group decision: UTAGMS-GROUP and UTADISGMS-GROUP
Decision Support Systems
Dominance-based rough set approach to decision involving multiple decision makers
RSCTC'06 Proceedings of the 5th international conference on Rough Sets and Current Trends in Computing
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The paper proposes a two-phase methodology to support groups in multicriteria classification problems. The first phase, which relies on a dominance-based rough set approach (DRSA), takes a set of assignment examples as input and outputs a set of collective decision rules, representing a generalized description of the decision makers' preference information. The second phase then applies these collective decision rules to classify all decision objects. The methodology uses ''if ... then ...'' aggregation rules that coherently implement the majority principle and veto effect. The aggregation rules thus allow obtaining consensual decisions. Furthermore, the contribution of each decision maker to the collective decision is objectively measured by the quality of individual classification conducted by this decision maker during the first phase. The methodology has been validated by developing a prototype and applied to a nuclear risk management decision problem.