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出 处:《计算机仿真》2017年第8期360-363,共4页Computer Simulation
摘 要:在景观园林设计中,对低碳环保植物的美景度优化可以有效提高整体园林绿地景观质量。传统的方法无法详细地反映出美景度因子属性之间的轻重关系,存在景观美景度优化误差大的问题。提出基于模糊聚类的景观园林设计中低碳环保植物美景度优化方法。融合模糊聚类理论思想对景观园林美景度因子进行聚类,得到模糊聚类准则函数,反映出美景度因子属性之间的轻重关系,使低碳植物景观美景度样本矢量与类中心点的矢量的距离最短,用各个美景度因子信息熵得到的美景度优化客观权值,利用该权值对物景观美景度因子主观估计权重进行权重的修正,获取景观美景度模糊评判矩阵,计算该矩阵的评价向量,给出对景观园林设计中低碳环保植物美景度优化综合得分。仿真结果表明,所提方法评价精确度高,为以后的风景林研究和经营奠定了结实的基础。An optimization method for beauty degree of low - carbon environmental protecting plant in landscape garden design is proposed based on fuzzy clustering. Firstly, the cluster for factor of the beauty degree integrated with the fuzzy clustering theory is carried out, and the criterion function of fuzzy cluster is obtained, then the weight relation among attribute of the factor is reflected, and the shortest distance between sample vectors of the beauty degree and vector of class - center point is achieved. Moreover,the information entropy of each factor of beauty degree is used to obtain optimization objective weight of the beauty degree, and the weight is used to amend subjective assessment weight of the factor. The fuzzy judging matrix of the beauty degree is acquired and evaluation vector of the matrix is calculated. Finally, the optimization synthesis score of the beauty degree is provided. Simulation results show that the method has high evaluation precision.
分 类 号:S750[农业科学—森林经理学]
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