Computer Science

Computer Science ›› 2024, Vol. 51 ›› Issue (10): 86-93.doi: 10.11896/jsjkx.240400063

• Technology and Application of Intelligent Education • Previous Articles     Next Articles

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

ZHANG Chang'en1, CHENG Qing1,2, SI Yuehang1, HUANG Jincai1   

  1. 1 School of Systems Engineering,National University of Defense Technology,Changsha 410073,China
    2 Hunan Advanced Technology Research Institute,Changsha 410006,China
  • Received:2024-04-09 Revised:2024-06-29 Online:2024-10-15 Published:2024-10-11
  • About author:ZHANG Chang'en,born in 1999,postgraduate.His main research interests include operations research and mission planning.
    CHENG Qing,born in 1986,associate professor,is a member of CCF(No.31422G).His main research interests include knowledge reasoning and intelligence Q&A.
  • Supported by:
    National Natural Science Foundation of China(62376279).

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Abstract: 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.

Key words: Review model, Integer programming, Simulated annealing, Support vector machine regression, Innovative design

CLC Number: 

  • TP301
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