中文

City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria

Hits:

  • Affiliation of Author(s):经济与管理学院

  • Journal:Journal of Cleaner Production

  • Key Words:Multicriteria decision making City sustainability Objective weights Interdependent criteria

  • Abstract:City sustainability evaluation can be formulated as a multi-criteria decision making (MCDM) problem
    where the interactions and weights of interdependent criteria cannot be subjectively and reliably obtained. This paper develops an objective weighting approach to determining the weights of interdependent criteria in the context of MCDM. Equipped with a novel optimization model, this approach can
    objectively obtain the interaction coefficients and weights of the criteria on a multi-level hierarchy. An
    empirical study on the sustainability performance evaluation of 13 cities in China is conducted to
    illustrate how the approach works. The result shows that the approach can reflect the performance
    divergence of the cities on each criterion and ensure that the evaluation result is not affected by the
    inconsistency of subjective judgments. This approach is indeed a new contribution to the methodological
    development of MCDM research and to the practical application of city sustainability evaluation.

  • Indexed by:Journal paper

  • Volume:131

  • Page Number:491-499

  • Translation or Not:no

  • Date of Publication:2016-04-08

  • Included Journals:SCI

  • Co-author:Zhang, Ling,Zhu, Yuan-Cheng,lyz,Zhao, Wei-Wei,Xu, Jing-Juan,Chen, Hong-Yuan

  • Correspondence Author:zhang ling,梁彦瑜,Zhao, Wei-Wei

  • Date of Publication:2016-04-08

  • Attachments:

  • City sustainability evaluation using multi-criteria decision making with objective weights of interdependent criteria.pdf  Download[]Times
Copyright©2018- Nanjing University of Aeronautics and Astronautics·Informationization Department(Informationization Technology Center) Click:
  MOBILE Version

The Last Update Time:..