Assessment Index Reduction Algorithm Based on Roughness for Food Safety Evaluation

Xu E (), Menggang Li (), Shuang Lin () and Lulu Jin ()
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Xu E: Beijing Jiaotong University
Menggang Li: Beijing Jiaotong University
Shuang Lin: Bohai University
Lulu Jin: Bohai University

A chapter in LISS 2013, 2015, pp 741-746 from Springer

Abstract: 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.

Keywords: Food safety system; Rough set; Attribute reduction; Roughness (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-642-40660-7_111

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DOI: 10.1007/978-3-642-40660-7_111

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