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逼近理想解排序方法与园林规划树种选择
  • 期刊名称:辽宁工程技术大学学报,2006, 25 (增刊I): 283~286. (EI).
  • 时间:0
  • 分类:X173[环境科学与工程—环境科学]
  • 作者机构:[1]中国科学院沈阳应用生态研究所,沈阳110016, [2]中国科学院研究生院,北京100039, [3]沈阳市沈河区房产局,辽宁沈阳110011, [4]鞍山市城市建设管理局,辽宁鞍山114040, [5]沈阳市城市建设管理局,辽宁沈阳110016
  • 相关基金:国家自然科学基金资助项目(90411019);中国科学院知识创新工程项目资助(KZCX3-SW43);中国科学院沈阳应用生态所创新项目资助(SLYQY0414)
  • 相关项目:城市森林对全球气候变化的响应与反馈
中文摘要:

将多目标决策中的逼近理想解的排序方法引入到园林规划树种选择之中,通过对园林规划目标,规划区立地条件,园林树木特性,园林树木用途进行指标量化,建立规划目标指标量化+TOPSIS模型,并结合实例验证其准确性和优越性,为风景园林树种规划提供一种科学、理性、规范的方法。

英文摘要:

In this paper, the method Technique of Order Preference by Similarity to Ideal Solution (TOPSIS) is introduced to landscape planning in selecting tree species, and is a new try in landscape architecture and gardens. The model of Index Quantification of Planning Aim + TOPSIS was built on the basis of quantifying the aim of landscape planning, site condition, characters and usages of garden trees which could be calculated by TOPSIS. The model was validated by a case of Shengyang urban forest tree species selection. Results show that the method is more accurate than and superior to other methods of subjective guesswork used by many landscape designers. It provides a scientific basis for choice method of plants in landscape planning.

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