Project Assessment Models, Algorithms And Review Of The Fund

Every year, the National Natural Science Foundation of China (NSFC) accepts many application projects. Fair and reasonable evaluation to these projects had an important impact on the development of our country's technology and science which is not only involved in the problem of the reasonable distribution of the funds and optimal exploitability, but also one that the researchers care much. In this paper, we discuss the procedure of evaluating the projects with the application of optimization theory, multiple sequence algorithm and normalization algorithm. On the base of these, we present the mathematical models and algorithms for the anti-evaluation analysis of the specialists in NSFC.The main work is as follows:First, set up the evaluation model of NSFC with application of multiple sequence algorithm, discuss the mathematical properties related, and present the final application result as well.Then present the concepts of non-commonity and maximum non-commonity according to the no-consensus problem during the project evaluation of NSFC, discuss some properties and methods of them, find the application in the project evaluation of a certain field which overcome the adverse effect of different non-commonity.Furthermore, present the concept and algorithm of the specialist anti-evaluation innovatively, which refer to the status of specialists in NSFC now, also present the concepts of hit ratio and success ratio etc.At last, associated with the qualitative and quantitative method, develop the software of the project evaluation and the specialist anti-evaluation by the above algorithms, then get the perfect result after being applied actually in some field project evaluation in NSFC.