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Fuzzy Evaluation on Food Safety Based on Improved Membership Degree Transformation Algorithm

机译：基于改进隶属度变换算法的食品安全模糊评价

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It needs a scientific and complete index system for a comprehensive evaluation on the safety of foods in some region or some country. And the use of advanced evaluation technologies is also an important work of food safety evaluation. The paper eliminated the redundant data in index membership for object classification by defining distinguishable weight and extracted valid values to compute object membership. The improved algorithm of membership degree transformation includes three calculation steps which can be summarized as "effective, comparison and composition", which is denoted as M (1,2,3). The paper applied the new algorithm in fuzzy evaluation on the safety of foods. Evaluation results show the validity of the improved model and the model can achieve the dynamic evaluation of the safety of foods in some region or some country.
机译：它需要一个科学而完整的指标体系来对某些地区或某个国家的食品安全性进行综合评估。而且，先进的评估技术的使用也是食品安全评估的重要工作。通过定义可区分的权重并提取有效值来计算对象成员资格，本文消除了用于对象分类的索引成员资格中的冗余数据。改进的隶属度变换算法包括三个计算步骤，可以概括为“有效，比较和组成”，记为M（1,2,3）。将新算法应用于食品安全性的模糊评价中。评价结果表明了改进模型的有效性，该模型可以对某些地区或某些国家的食品安全性进行动态评价。

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