Title :
Research on aquatic products safety assessment
Author :
Xu, E. ; Wang Xinquan ; Zhang Ye ; Mao Meijing ; Tanyan
Author_Institution :
Dept. of Inf. Sci. & Technol., Bohai Univ., Jinzhou, China
Abstract :
Aquatic product safety assessment is a hot and hard problem in the research field which is one of the important contents in food safety supervision and management, and is composed of all kinds of assessment indexes which are not only dependent, but also independent. To deal with it, a new method was proposed by using core attributes, discernable matrix and so on. Attribute reduction of rough sets is an NP-hard problem, but there is not a popular efficient algorithm presently. The attribute union concept based on the set theory and the attribute reduced algorithm based on this concept were presented. The algorithm translates the attribute reduction to find the attribute union, reducing the number of scanning the decision table and improving the reduced efficiency. The scanning strategy from bottom to top and with width priority can ensure to find the minimal reduction. Also, an example was presented to describe the algorithm.
Keywords :
computational complexity; decision tables; food products; food safety; matrix algebra; optimisation; set theory; NP-hard problem; aquatic product safety assessment; attribute union concept; core attributes; decision table scanning strategy; discernable matrix; food safety management; food safety supervision; rough set attribute reduction; set theory; Algorithm design and analysis; Data mining; Decision making; Heuristic algorithms; Information systems; Safety; Set theory; aquatic products; rough set; safety assessment;
Conference_Titel :
Mechatronics and Control (ICMC), 2014 International Conference on
Print_ISBN :
978-1-4799-2537-7
DOI :
10.1109/ICMC.2014.7231517