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基于灰色局势决策模型的海水养殖空间布局优化决策 被引量:2

Study on the Spatial Layout Optimization of Mariculture in China Based on the Grey Situation Decision Model
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摘要 通过综合考察收入、成本、环境依赖度、生态损害四个决策因子,建立综合测度矩阵,构建海水养殖空间布局优化的灰色局势决策模型。选取相关数据对山东省、广东省、浙江省、辽宁省的海水养殖空间布局进行矩阵测度,实现我国海水养殖空间布局的优化决策。得出优化决策方案如下:广东省养殖海参、海带占优,海水养殖的优化次序为海参、贝类、海带、鱼类;辽宁省养殖贝类、海参占优,海水养殖的优化次序为海参、贝类、鱼类、海带;浙江省养殖海参占优,海水养殖的优化次序为鱼类、海参、贝类、海带;山东省养殖鱼类、海参占优,海水养殖的优化次序为海参、鱼类、贝类、海带。 By synthetically investigating the four decision-making factors of income, cost, environmental dependence and ecological damage, a comprehensive measure matrix was established, and a grey situation decision -making model for optimizing the spatial distribution of mariculture was constructed. By selecting relevant data to measure the spatial distribution of marine aquaculture in Shandong, Guangdong, Zhejiang and Liaoning Province by matrix, the optimal decision -making of the spatial distribution of marine aquaculture in China is realized. The optimum decision-making scheme is as follows: sea cucumber and kelp are dominant in Guangdong province, and sea cucumber, shellfish, kelp and fish are in the optimum order of mariculture;shellfish and sea cucumber are dominant in Liaoning province, and sea cucumber, shellfish, fish and kelp are in the optimum order of mariculture;sea cucumber is dominant in Zhejiang province, and fish, sea cucumber, shellfish and kelp are in the optimum order of mariculture. Fish culture and sea cucumber are dominant in Shandong province, and the order of optimization of mariculture is sea cucumber, fish, shellfish and kelp.
作者 于谨凯 李海阳 YU Jinkai;LI Haiyang(Economics College, Ocean University of China, Qingdao 266100, China)
出处 《海洋经济》 2019年第2期28-36,共9页 Marine Economy
基金 国家自然科学基金项目[71673259] 国家自然科学基金项目[71273247] 教育部人文社会科学研究项目[15JJDZONGHE024]
关键词 灰色局势决策模型 海水养殖 空间布局 优化决策 Grey Situation Decision Model Mariculture Spatial distribution Optimization decision
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