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Assessment Index Reduction Algorithm Based on Roughness for Food Safety Evaluation

In: Liss 2013

Author

Listed:
  • Xu E

    (Beijing Jiaotong University
    Bohai University)

  • Menggang Li

    (Beijing Jiaotong University)

  • Shuang Lin

    (Bohai University)

  • Lulu Jin

    (Bohai University)

Abstract

According to the shortcoming of calculation inefficient of the existing attribute reduction algorithms of food safety system, it defined a new attribute reduction algorithm—attribute reduction algorithm based on roughness. The algorithm introduced roughness; Beginning with null set and taking roughness as selection criterion of condition attribute; Got the new union by adding the minimum roughness into reduction set step by step; Reduced search space using recursive method until the universe was empty and got reduced attribute set. Finally, the availability and efficiency of the algorithms were demonstrated.

Suggested Citation

  • Xu E & Menggang Li & Shuang Lin & Lulu Jin, 2015. "Assessment Index Reduction Algorithm Based on Roughness for Food Safety Evaluation," Springer Books, in: Runtong Zhang & Zhenji Zhang & Kecheng Liu & Juliang Zhang (ed.), Liss 2013, pages 741-746, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-40660-7_111
    DOI: 10.1007/978-3-642-40660-7_111
    as

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