• DocumentCode
    2541096
  • Title

    Mineral cities competitiveness based on fuzzy clustering algorithm

  • Author

    Li, Wang ; Xinguang, Peng

  • Author_Institution
    Coll. of Comput. & Software, Taiyuan Univ. of Technol., Taiyuan, China
  • fYear
    2010
  • fDate
    16-18 April 2010
  • Firstpage
    154
  • Lastpage
    157
  • Abstract
    Research on mineral city competition can let decision-makers accurately understand on superiority and the inferiority of the city, and it will have the guidance significance to the mineral city´s sustainable development at the same time. We propose a new method of competitiveness evaluation for mineral cities by means of fuzzy clustering algorithm to apply the method to mineral city competition of Shanxi Province based on 22 evaluating index system. The application of fuzzy clustering algorithm in city competition evaluation may avoid the subjective factor, it can cluster competitive competences of the cities objectively, and propose countermeasure effectively to enhance the competition of mineral city.
  • Keywords
    fuzzy set theory; mineral processing industry; pattern clustering; sustainable development; Shanxi Province; fuzzy clustering algorithm; mineral cities competitiveness; mineral city competition; sustainable development; Algorithm design and analysis; Cities and towns; Clustering algorithms; Data mining; Educational institutions; Fuzzy systems; Minerals; Software algorithms; Sustainable development; Uncertainty; competition; fuzzy clustering; mineral cities;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-5263-7
  • Electronic_ISBN
    978-1-4244-5265-1
  • Type

    conf

  • DOI
    10.1109/ICIME.2010.5477482
  • Filename
    5477482