Assessment Index Reduction Algorithm Based on Roughness for Food Safety Evaluation

作者:Xu E*; Li Menggang; Lin Shuang; Jin Lulu
来源:3rd International Conference on Logistics, Informatics and Service Science (LISS), 2013-08-21 to 2013-08-24.
DOI:10.1007/978-3-642-40660-7_111

摘要

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.

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