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Data Mining Based on Fuzzy Rough Set Theory and Its Application in the Glass Identification

Author

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  • Ruying Sun

Abstract

To overcome the disadvantage of determining artificially the class number, fuzzy C means clustering is introduced to fuzzify the continual attribute, and the best minute class number is obtained by cluster validity analysis. The relationship of glass composition and its application is excavated using data mining method in this paper.

Suggested Citation

  • Ruying Sun, 2009. "Data Mining Based on Fuzzy Rough Set Theory and Its Application in the Glass Identification," Modern Applied Science, Canadian Center of Science and Education, vol. 3(8), pages 100-100, August.
    • Handle: RePEc:ibn:masjnl:v:3:y:2009:i:8:p:100
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    Cited by:

    1. Ali Keshavarzi & Fereydoon Sarmadian & Reza Labbafi & Majid Vandechali, 2011. "Modeling of Soil Cation Exchange Capacity Based on Fuzzy Table Look-up Scheme and Artificial Neural Network Approach," Modern Applied Science, Canadian Center of Science and Education, vol. 5(1), pages 153-153, February.

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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