A Multi-Agent Decision Support System Based on Fuzz Theory
Liang Xiang-jun · Acta Scientiarum Naturalium Universitatis Sunyatseni · 2004
A DSS with the integration of multi-agents and fuzz theory is discussed and different sides of an individual functional mock-up is represented by agent-group. By means of fuzz clustering and fuzz reasoning, the judgment and selection of effective data for decision can be made. Based on this structure, the decision system has been built up for the assessment of scientific research projects. It is proved through applications that such system has made a good decision result.