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中国科学院大学学报 ›› 2011, Vol. 28 ›› Issue (2): 169-176.DOI: 10.7523/j.issn.2095-6134.2011.2.006

• 论文 • 上一篇    下一篇

水质模糊评价模型中赋权方法的选择

代雪静1,2, 田卫1   

  1. 1. 中国科学院东北地理与农业生态研究所, 长春 130012;
    2. 中国科学院研究生院, 北京 100049
  • 收稿日期:2010-05-13 修回日期:2010-07-06 发布日期:2011-03-15
  • 基金资助:

    国家自然科学基金( 40901036) 资助 

Choice of determining weights method in fuzzy synthetic evaluating model for water quality

DAI Xue-Jing1,2, TIAN Wei1   

  1. 1. Northeast Institute of Geography and Agricultural Ecology, Chinese Academy of Sciences, Changchun 130012, China;
    2. Graduate University, Chinese Academy of Sciences, Beijing 100049, China
  • Received:2010-05-13 Revised:2010-07-06 Published:2011-03-15

摘要:

以查干湖监测数据为例,对其进行模糊综合评价.分别利用主成分分析法、污染超标赋权法和层次分析法确定权重,并对不同赋权方法得出的权重值与评价等级进行比较分析.结果表明,主成分赋权法对权重值的确定能如实反映每一个评价因子在整个环境中的重要性;污染超标赋权法对污染较重的因子赋予较高的权重;层次分析赋权法受主观影响较大.

关键词: 模糊综合评价, 赋权方法, 主成分分析, 层次分析, SPSS软件

Abstract:

By taking monitoring data of Chagan Lake as an example, fuzzy synthetic assessment was conducted using the principal component weighting, exceeding standard weighting, and analytic hierarchy process. Results show that the principal component weighting can truly reflect the values of various factors; exceeding standard weighting gaves heavier weights to the polluting factors; and the weight values are influenced by subjectivity in analytic hierarchy process.

Key words: fuzzy synthetic evaluating, determining weights method, principal component weighting, analytic hierarchy process, SPSS software

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