Design and implementation of a group decision support system for university innovation projects evaluation

Expert evaluation is one of the important means of investment decision-making. We propose a group-decision method based on gray matter element, and apply it to network evaluation of university innovation project. This method extends traditional single evaluation method to abundant index system, and refines the scoring rubric. On the basis of support score, other six criterion opposed score, uncertainty score, current advantage score, current disadvantage score, potential advantage score and potential disadvantage score are added. Experimental results show that we can obtain six times that of the previous project evaluation information. It can provide strong support for decision-makers and has high practical value.