RESEARCH PAPERS

Research on the Performance Evaluation System of Major Local Science and Technology Projects from an Intelligence Perspective: A Case Study Based on Cloud Model

  • Peng Haiyuan ,
  • Lin Guanqun ,
  • Wu Hongwei
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  • Fujian Institute of Scientific and Technological Information, Fuzhou 350003
Peng Haiyuan, Associate Researcher, Master's Degree, E-mail: phy@fjinfo.org.cn; Lin Guanqun, Assistant Researcher, Master's Degree; Wu Hongwei, Engineer, Master's Degree.

Received date: 2025-04-30

  Revised date: 2025-08-26

  Online published: 2026-07-13

Supported by

This work is supported by the Special Project for Public Welfare Research Institutes in Fujian, titled “Research on Evaluation of Science and Technology Innovation Capability in Key Areas of Fujian Province Based on the Innovation Chain” (Grant No. 2021R1008007) and “Research on Performance Evaluation of Provincial Science and Technology Major Project Based on Information Evaluation” (Grant No. 2018R1008—6).

Abstract

[Purpose/Significance] Major local science and technology projects generally reflect the will and strategic needs of the government, aiming to solve the “bottleneck” problems in key technical fields. These projects are characterized by their importance, scale, and specialization. Traditional methods of expert evaluation and statistical analysis can no longer meet the new requirements of the current artificial intelligence and big data. The comprehensive application of various evaluation methods, such as intelligence analysis and peer review, to conduct performance evaluation can provide strong support for the planning management, and decision-making of local science and technology management departments. [Method/Process] This paper focuses on the major science and technology projects in Fujian Province to establish a performance evaluation index system based on six dimensions: project decision-making, implementation management, goal achievement, technical level, transformation effect, and sustainable impact. Next, it introduces a scientific and technological intelligence method to integrate intelligence analysis with scientific evaluations by supplementing the index system with technical intelligence-related indicators and adding intelligence analysis and evaluation to the evaluation process. Then, a comprehensive evaluation model based on the AHP and entropy weight cloud model is established. Finally, a case study of a specific project is used to verify the application value of the above method in the performance evaluation process of major local science and technology projects in Fujian Province. [Result/Conclusion] The research results demonstrate that the intelligence analysis and evaluation method reduces the influence of expert subjectivity, making the evaluation results more accurate and objective. The AHP-entropy weigh-cloud model accounts for the fuzziness and uncertainty of the evaluation information, which helps to accurately evaluate the performance levels, quickly determine the key influencing factors, and further enhance the authenticity and effectiveness of evaluation results. So, the method proposed in this paper is applicable to the post-performance evaluation of major local science and technology projects. It can provide theoretical support and practical guidance for scientific and technological information agencies or other evaluation institutions.

Cite this article

Peng Haiyuan , Lin Guanqun , Wu Hongwei . Research on the Performance Evaluation System of Major Local Science and Technology Projects from an Intelligence Perspective: A Case Study Based on Cloud Model[J]. Library and Information Service, 2026 , 70(14) : 89 -102 . DOI: 10.13266/j.issn.0252-3116.2026.14.007

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