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[Similarity weight method and its application based on the attribute synthetic evaluation system].

Jian-Ming Li1, Cheng-Yi Qu, Qing-Ou Liu

  • 1The Department of Mathematics, Shanxi Medical University, Taiyuan 030001, China.

Zhonghua Liu Xing Bing Xue Za Zhi = Zhonghua Liuxingbingxue Zazhi
|March 17, 2005
PubMed
Summary

This study introduces an objective method for weighting variables in synthetic evaluation, effectively ranking atmospheric quality in 11 cities. The approach proved comparable to existing Topsis evaluation methods.

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Area of Science:

  • Environmental Science
  • Data Science
  • Urban Planning

Context:

  • Assessing urban atmospheric quality is crucial for public health and environmental policy.
  • Existing evaluation methods may not fully capture variable importance.
  • The attribute synthetic evaluation system provides a framework for multi-criteria decision-making.

Purpose:

  • To develop and validate a novel method for determining variable weights within the attribute synthetic evaluation system.
  • To apply this method for ranking the atmospheric quality of 11 major cities.
  • To compare the efficacy of the proposed method with the Topsis evaluation technique.

Summary:

  • The study utilized a similarity weight approach within the attribute synthetic evaluation system to cluster and rank atmospheric quality data for 11 large cities.

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  • This method objectively determined variable importance and leveraged sample information for a comprehensive assessment.
  • The classification and ranking results demonstrated strong comparability with the established Topsis evaluation.

    • Impact:

    • Provides a more objective and rational approach to synthetic evaluation, enhancing the reliability of environmental assessments.
    • Offers a valuable tool for urban planners and policymakers to understand and address air quality disparities.
    • Contributes to the advancement of multi-criteria decision-making methodologies in environmental science.