水产品安全评价研究

E. Xu, W. Xinquan, Zhang Ye, Mao Meijing, Tanyan
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引用次数: 0

摘要

水产品安全评价是研究领域的热点和难点问题,是食品安全监督管理的重要内容之一,由各类评价指标组成,这些指标既相互依存又相互独立。为了解决这一问题,提出了一种利用核心属性、可分辨矩阵等方法的新方法。粗糙集的属性约简是一个np困难问题,但目前还没有一个流行的高效算法。提出了基于集合论的属性联合概念和基于此概念的属性约简算法。该算法将属性约简转化为查找属性联合,减少了对决策表的扫描次数,提高了约简效率。采用从下到上、宽度优先级的扫描策略可以保证找到最小的缩减量。最后给出了一个算例来说明该算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on aquatic products safety assessment
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.
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