Mapping Data Classification Based on Modified Fuzzy Statistical Analysis

  • Yi Cheng
  • Mingxia Xie
  • Jianzhong Guo
Conference paper

DOI: 10.1007/978-3-642-23982-3_26

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6988)
Cite this paper as:
Cheng Y., Xie M., Guo J. (2011) Mapping Data Classification Based on Modified Fuzzy Statistical Analysis. In: Gong Z., Luo X., Chen J., Lei J., Wang F.L. (eds) Web Information Systems and Mining. WISM 2011. Lecture Notes in Computer Science, vol 6988. Springer, Berlin, Heidelberg

Abstract

Through analyzing and researching traditional mapping data classification, and considering the fuzzy of classification, then a modified mapping data classification is put forward, which is based on fuzzy set. First, gain fuzzy sample set by expert system, and compute sample distribution function by statistical analysis. Then, utilize distribution function to gained fuzzy membership function, and working out the fuzziest point by membership function. Finally, in according to the most fuzzy point, and achieve to classify mapping data. The proposed method solves the problem of misconstruction of the original data, not being generally used, complexity of computing and fuzzy classification in the traditional mapping data classification method and practical process.

Keywords

fuzzy set fuzzy membership function the fuzziest point mapping data classification Statistical Analysis P-P probability map 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Yi Cheng
    • 1
  • Mingxia Xie
    • 1
  • Jianzhong Guo
    • 1
  1. 1.Zhengzhou Institute of Surveying and MappingZhengzhouChina

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