• DocumentCode
    475661
  • Title

    Data Mining Application Based on Cloud Model in Spatial Decision Support System

  • Author

    Wang, Hong-li ; Meng, Li ; Cao, Mu-kun ; Li, Yan

  • Author_Institution
    Sch. of Economic & Manage., Zhongyuan Univ. of Technol., Zhongyuan
  • Volume
    1
  • fYear
    2008
  • fDate
    3-4 Aug. 2008
  • Firstpage
    547
  • Lastpage
    551
  • Abstract
    It is a key problem to represent properly the knowledge in space decision support system. The knowledge has the character of multi-dimension, fuzzy and randomcity in uncertain problems on space decision. In order to improve the ability of dealing with uncertain problems in space decision support system the representation and induction based on cloud model is proposed in this article. Firstly the multi-dimension cloud model is given to represent the knowledge stored in knowledge database in space decision support system. Then knowledge induction method based on multi-dimension cloud model is proposed. Lastly a case in space environment decision is given to verify the methodpsilas validity. Contrast to previous method, the innovation of method is that the complete knowledge representation and induction based on cloud model with the merit of representing multi-dimension, fuzzy and random knowledge is given.
  • Keywords
    data mining; decision support systems; knowledge representation; data mining; fuzzy knowledge; knowledge database; knowledge induction; knowledge representation; multidimension cloud model; random knowledge; space decision; space environment decision; spatial decision support system; uncertain problems; Artificial neural networks; Clouds; Cognition; Data mining; Decision support systems; Fuzzy systems; Knowledge representation; Mathematics; Multidimensional systems; Space technology; Cloud Model; Data Mining; Spatial Decision Support System;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication, Control, and Management, 2008. CCCM '08. ISECS International Colloquium on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3290-5
  • Type

    conf

  • DOI
    10.1109/CCCM.2008.296
  • Filename
    4609571