基于模糊综合分析的食用油污染物风险评价研究

目的 基于模糊综合分析实现对食用油污染物风险评价。方法 首先进行了指标筛选,选取了易于检测且对食用油风险程度影响较大的6个指标作为风险评价因子,然后进行相应的数据预处理;并用层次分析法确定各指标主观权重,对得到的权重进行一致性检验以确定其可用于综合评价计算;用熵权法获得各指标的客观权重;将二者经过耦合计算得到综合权重;最后运用模糊综合评价法对食用油进行风险评价,并根据最大隶属度确定评价结果。结果 本研究依托150组花生油数据,用本方法对预处理后数据进行评价,样本1的风险等级为“微风险”。结论 结合安全风险等级划分与评价专家组意见,运用本研究评价方法得出的结果更加客观、全面,可作为食用油风险评价的有效手段。

Research on risk assessment of edible oil pollutants based on fuzzy comprehensive analysis

Objective In recent years, edible oil safety accidents occur frequently, so it is of great significance to conduct safety assessment on edible oil. Methods First, six indicators that are easy to detect and have a great impact on the risk degree of edible oil are selected as risk assessment factors and the corresponding data are preprocessed. Second, the subjective weight of each index is determined by AHP. The obtained weights are tested for consistency to determine that they can be used for comprehensive evaluation calculation. The objective weight of each index is obtained by entropy weight method. The comprehensive weight is obtained through coupling calculation. Finally, the fuzzy comprehensive evaluation method is used to evaluate the risk of edible oil, and the evaluation results are determined according to the maximum degree of membership. Results Based on 150 groups of peanut oil data, this paper evaluates the pretreated data with this method, and the risk level of sample 1 is "slight risk". Conclusion Combined with the safety risk classification and the opinions of the evaluation expert group, it can be concluded that the results obtained by using the evaluation method in this paper are more objective and comprehensive, and can be used as an effective means for risk evaluation of edible oil.