Large-scale Innovation Competition Evaluation Scheme Based on Multi-stage Evaluation

Currently,large-scale innovation competitions are constantly emerging.The evaluation of such competitions has become an urgent problem to be solved due to subjective differences among experts and other reasons.This paper focuses on the research and design of evaluation schemes for large-scale innovation competitions.Through the analysis of the scoring results of the exis-ting competitions,the advantages and disadvantages of various evaluation schemes are comprehensively compared to find the best evaluation,so as to make the review process as programmed and efficient as possible,saving manpower and time resources.Firstly,the text constructs an expert allocation model to determine the “cross distribution” plan for reviewing experts,and uses an improved simulated annealing algorithm to solve the problem.Secondly,the text constructs a weighted model to compare four types of standard score calculation methods,and designs an improved standard score calculation method based on expert weights.Lastly,considering the correlation between large range and innovation,a range regression model is established to evaluate the model based on range.The proposed model and algorithm are widely applicable,and have important practical reference significance,and high application value.