地理科学进展 ›› 2009, Vol. 28 ›› Issue (3): 409-416.doi: 10.11820/dlkxjz.2009.03.013

• 土地利用变化 • 上一篇    下一篇

模糊数学方法在中国土地资源评价中的应用进展

李希灿1,2|王静2|邵晓梅2   

  1. 1. 山东农业大学信息科学与工程学院|泰安 271018; 2. 国土资源部土地利用重点实验室|北京 100035
  • 出版日期:2009-05-25 发布日期:2009-05-25
  • 通讯作者: 王静 E-mail:wjing0162@yahoo.com.cn
  • 作者简介:李希灿(1965-)|男|山东成武县人|博士|主要从事模糊数学方法与应用、土地资源评价研究。E-mail:lxc@sdau.edu.cn
  • 基金资助:

    国家科技支撑计划项目(2006BAB15B04,2006BAJ05A08);2007年度国土资源部百名优秀科技人才计划项目

Progress in the Application of Fuzzy Mathematics Methods in China Land Resource Evaluation

LI Xican1,2|WANG Jing2|SHAO Xiaomei2   

  1. 1. College of Information Science and Engineering| Shandong Agricultural University| Tai'an 270108| China|
    2. Key Lab of Land Use| Ministry of National Land and Resources| Beijing 100035| China
  • Online:2009-05-25 Published:2009-05-25

摘要:

对近30年来模糊数学方法应用在我国土地资源评价中的论文进行检索与分类统计,以常用模糊数学方法为主线进行应用进展分析与展望。研究结果表明,自1980年以来,模糊数学方法在我国土地资源评价中逐步得到应用,研究论文分布在几十种期刊上,论文作者比较分散;其中,模糊综合评价、模糊聚类分析方法应用相对较多,分别占检索论文总数的46%和26%。模糊综合评价方法主要应用在土地适宜性评价、土地质量评价、可持续发展评价等方面;模糊聚类分析方法主要应用在土地利用类型划分和土地资源评价等方面。模糊数学方法将在土地资源评价、分类、规划、决策、预测和控制问题研究中得到进一步应用。在应用模糊数学方法时应注意合理描述模糊概念、注重多种方法并用,在实践中不断创新。

关键词: 土地资源评价;模糊综合评价;模糊聚类

Abstract:

The purpose of this paper is to review recent 30 years research of China's land resource evaluation by using fuzzy mathematics methods. The results indicate that, since 1980 fuzzy mathematics methods have been applied to land resource evaluation, the relevant articles are not only distributed on many journals, but the authors are also scatterd. Especially, the major applied fuzzy mathematics methods are fuzzy comprehensive evaluation and fuzzy classification, and the articles using fuzzy comprehensive evaluation are 46% of the indexed papers, and the articles using fuzzy classification are 26% of the indexed papers. The method of fuzzy comprehensive evaluation is mainly applied in land suitability judgment, land quality evaluation and land sustainable development evaluation. The method of fuzzy classification is mainly applied to clustering region of land use condition and land resource evaluation. At the same time, the further application directions are the land resource evaluation, clustering, planning, decision making, forecast and control. When we use the fuzzy mathematical methods, we should pay attention to expressing the fuzzy concept rationally, utilizing multiple methods and innovating in practice.

Key words: fuzzy classification, fuzzy comprehensive evaluation, land resource evaluation