Zhang, L.; Dong, Y., and Xu, J., 2020. Potential evaluation of ocean transportation supply chain based on CBR. In: Hu, C. and Cai, M. (eds.), Geo-informatics and Oceanography. Journal of Coastal Research, Special Issue No. 105, pp. 104–109. Coconut Creek (Florida), ISSN 0749-0208.

The choice of supply chain cooperation determines the success and efficiency of supply chain cooperation. Due to the particularity of ocean transportation, each participant in the supply chain must carefully choose partners. In this paper, structural equation model and case-based reasoning are applied to the selection of partners in ocean transportation. Based on the structural equation, the key indicators and influence path of partner selection are verified. The key technologies of application framework, case-knowledge representation, case retrieval, and weight modification based on case-based reasoning are proposed. Combing traditional algorithm and fuzzy set calculation improves the adaptability and accuracy of retrieval. Finally, we organize the initial case-base to verify the efficiency and quality of the new retrieval algorithm.