Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China

Research Article

Evaluation of Shipbuilding Universities’ Technological Innovation Comprehensive Strength Based on Entropy Weight TOPSIS Model

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  • @INPROCEEDINGS{10.4108/eai.2-12-2022.2328747,
        author={Huiyu  Liu and Peng  Liu and Xiaomei  Sun and Yujie  Xie},
        title={Evaluation of Shipbuilding Universities’ Technological Innovation Comprehensive Strength Based on Entropy Weight TOPSIS Model },
        proceedings={Proceedings of the 3rd International Conference on Big Data Economy and Information Management, BDEIM 2022, December 2-3, 2022, Zhengzhou, China},
        publisher={EAI},
        proceedings_a={BDEIM},
        year={2023},
        month={6},
        keywords={shipbuilding universities; technology innovation of shipbuilding \& offshore; entropy weight topsis model},
        doi={10.4108/eai.2-12-2022.2328747}
    }
    
  • Huiyu Liu
    Peng Liu
    Xiaomei Sun
    Yujie Xie
    Year: 2023
    Evaluation of Shipbuilding Universities’ Technological Innovation Comprehensive Strength Based on Entropy Weight TOPSIS Model
    BDEIM
    EAI
    DOI: 10.4108/eai.2-12-2022.2328747
Huiyu Liu1, Peng Liu1,*, Xiaomei Sun1, Yujie Xie1
  • 1: Jiangsu University of Science and Technology
*Contact email: liupeng19821017@126.com

Abstract

To realize the transformation from the “largest shipbuilding country” to the “first top ship-building nation”, development of marine science and technology innovation should be the first driving force. Shipbuilding universities are an important part of the collaborative innovation consortium of modern shipbuilding & offshore manufacturing industry, and also an important source of development of science and technology innovation. We collect patent data in the field of shipbuilding & offshore manufacturing technology from shipbuilding universities, analyzed and evaluated the comprehensive strength of technology innovation based on entropy weight TOPSIS model. Finally, we put forward reasonable suggestions to solve the problems.