Research And Application Of The Model, Based On Madm-dt Parallel Combination Assessment

In keen competition society day by day,evaluation and decision making are an important task in all works of life,such as industry,trade and so on.The criteria which are used to judge the effect of evaluation are the rationality,the scientific nature,the risk degree,the fair and the foresight.They are the core question which is paid attention by the decision makers,simultaneously,is the hot spot which the theory researchers study.Multiple attribute decision making theory(MADM)is a comprehensive discipline which involves information science,system science,management,statistics and operations research.Its methods have been already applied in all kinds of evaluation and decision making.But decision making itself is the inevitable subjective factors,and they will influence the evaluation in some degree.Moreover,the evaluation with high quality and foresight is the goal which decision makers pursue.Considering not only the improvement of evaluation objectivity but also the foresight of it,decision tree(DT)in the field of data mining(DM)is used in this paper.DT is an important classification and foresight technology.It can extract implicit,unforeknown but useful information and kngwledge from fuzzy,random and a large number of data.In order to combine the success of classical decision theories with the development of the evaluating mode,a parallel combinational evaluating model including subjective and objective factors is presented.The development and the fundamental principle, which are about the knowledge involved in every part of the model,are introduced.An example about quantifying evaluation of university teacher's research achievement is applied in the model.