Lian, Y., 2018. Innovative design of marine resources database system based on fuzzy cluster analysis. In: Liu, Z.L. and Mi, C. (eds.), Advances in Sustainable Port and Ocean Engineering. Journal of Coastal Research, Special Issue No. 83, pp. 662–667. Coconut Creek (Florida), ISSN 0749-0208.
Traditional marine resources database system has performance issue in aspects of CPU, memory, index, therefore, this paper proposes a kind of innovation design method of marine resources database system based on fuzzy clustering analysis. Firstly, on the basis of collecting the marine capture yield over the years, the statistical information of fishing effort data, the biological parameter of main commercial fish and the research literature bibliography of fishery resources, we sort out and add data, and build the innovative database of marine resources, and then use the fuzzy clustering analysis method to realize the function of data processing and analysis. Finally, we use basic language programming to give the software flow chart of system. Experimental result shows that the performance of the proposed method is greatly improved in terms of query response efficiency, actual data warehousing efficiency, and data analysis performance.