Intelligent Decision Support System and its Application in Science Research Project Selection

Abstract

Science research project selection is an important task for organizations with project management. It is a complicated multi-stage decision-making process, which involves groups of decision makers. Current research on research project selection mainly focuses on mathematical decision models and their applications, but ignores the organizational aspect of the decision-making process. This paper proposes an intelligent decision support system (IDSS) for research project selection. According to the evaluation information being characteristic of uncertain, fuzzy and incomplete information, the D-S theory of evidence was applied to aggregate the evaluation. At same time, the IDSS mines the expert’s information from the applications to acquire the weight of experts to make the selection process more true-life. The demonstration shows the ways this method is feasible. The IDSS with this method can provide useful information for decision-making tasks in the project selection process.