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An Innovative Method for Project Transaction Mode Design Based on Case-Based Reasoning: A Chinese Case Study

Author

Listed:
  • Jiyong Ding

    (Institute of Engineering Management, Business School of Hohai University, Nanjing 211100, China
    Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100, China)

  • Jianyao Jia

    (School of Economics and Management, Tongji University, Shanghai 200092, China)

  • Chenhao Jin

    (Institute of Engineering Management, Business School of Hohai University, Nanjing 211100, China
    Jiangsu Provincial Collaborative Innovation Center of World Water Valley and Water Ecological Civilization, Nanjing 211100, China)

  • Na Wang

    (Institute of Engineering Management, Business School of Hohai University, Nanjing 211100, China)

Abstract

Aiming at the design of a project transaction mode, the case-based reasoning (CBR) method is used as a methodology to build a case-based reasoning system based on project performance predictions. Thirty-four cases are initially selected for the practical application. Based on the classical CBR, the performance forecast is added, an improved continuous variable interpolation scoring method is proposed, and three types of manual revision methods are proposed: owner’s preference for the project transaction mode, extreme value, and secondary learning. The innovative method is verified with Nanjing HF Project as an example, and the results show that the case-based reasoning system can optimize the selection and design of the project transaction mode, providing a certain guarantee for project performance and facilitating the transfer of construction experience and knowledge within the construction industry.

Suggested Citation

  • Jiyong Ding & Jianyao Jia & Chenhao Jin & Na Wang, 2018. "An Innovative Method for Project Transaction Mode Design Based on Case-Based Reasoning: A Chinese Case Study," Sustainability, MDPI, vol. 10(11), pages 1-18, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4127-:d:181819
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    Cited by:

    1. Nahyun Kwon & Joosung Lee & Moonsun Park & Inseok Yoon & Yonghan Ahn, 2019. "Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning," Sustainability, MDPI, vol. 11(3), pages 1-18, February.

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