园林景观与周边环境视觉协调性评估仿真研究  

Simulation Research on Visual Coordination Evaluation of Garden Landscape and Surrounding Environment

作　　者：高西美[1,2] GAO Xi-mei(Changzhou University,Changzhou Jiangsu 213164,China;National Donghwa University,Taiwan 97401,China)

机构地区：[1]常州大学,江苏常州213164 [2]台湾东华大学,台湾97401

出　　处：《计算机仿真》2020年第4期361-365,共5页Computer Simulation

摘　　要：针对当前景观评估方法存在的评估准确性差、复杂度高的问题,提出基于模糊统计的园林景观与周边环境视觉协调性评估方法。对评估指标进行初选,其中大致包含园林景观和安全协调性、园林景观和人类视觉协调性、园林景观和生态协调性三部分。根据初选结果,确定景观与周边环境在质量方面的协调性评估指标、景观与周边环境在多样完整性方面的协调性评估指标、景观与周边环境在生态适宜性方面的协调性评估指标三个一级评估指标,并将各一级评估指标划分为若干二级指标。利用模糊统计法对各个评估指标赋予权重,设定指标权重判断的相关专家集合和专家对指标权值判定的区间,通过样本落影函数表征各个集值区间组合的集值统计序列,获取各指标权重值,对其进行归一化,并利用区间方差法对权重赋值可靠程度进行校正。根据二级评估指标赋值结果得到一级评估指标赋值结果,以此构建园林景观与周边环境视觉协调性评估模型。实验结果表明,所提方法评估准确率高、复杂度低。Due to poor accuracy and high complexity of current landscape assessment methods, this article proposed a method to assess the visual coordination of garden landscape and surroundings based on fuzzy statistics. Preliminarily, the assessment indicators were selected, which mainly included three parts:coordination between garden landscape and safety, coordination between garden landscape and human vision, and coordination between the garden landscape and the ecology. According to the results of primary selection, three primary assessment indicators could be determined, for example, the coordination assessment index of the landscape and the surroundings in aspect of quality, the coordination assessment index of the landscape and the surrounding environment in aspect of various integrity, and the coordination assessment index of the landscape and the surroundings in aspect of ecological suitability. Meanwhile, all the primary assessment indicators were divided into several secondary indicators. Then, the fuzzy statistical method was used to assign weights to each evaluation index. After that, the relevant expert set for index weight judgment and the interval for expert to judge the index weight were set. Furthermore, the set-valued statistical sequence of each set-valued interval combination was characterized by sample falling shadow function, so that the weight value of each index was obtained. The weight value was normalized, and the interval variance method was used to correct the reliability of weight assignment. Based on the assessment result of secondary assessment index, the assignment result of primary assessment index was obtained. Thereby, the visual coordination assessment model of garden landscape and surroundings was built. Simulation results show that the method has high evaluation accuracy and low complexity.

关 键 词：园林景观 环境 视觉协调性 评估 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]