Food risk comprehensive evaluation method based on improved matter element extension model

Abstract

The invention discloses a food risk comprehensive evaluation method based on an improved matter-element extension model. The method comprises steps of firstly constructing a food risk evaluation matter element in combination with a matter-element extension theory, and selecting a correlation function suitable for the food field to calculate the single-index correlation degree of each evaluation index and each risk grade; secondly, the optimal weight of each evaluation index being calculated based on the optimal and worst method in combination with expert evaluation, the food risk grade being determined through the comprehensive correlation degree between the evaluation indexes and the evaluation grade, and the food risk being rapidly and comprehensively evaluated. According to the method, problems of incompatibility of a traditional food risk evaluation system and relatively high weight subjectivity, high evaluation result distortion degree, low evaluation efficiency and the like caused by relatively many qualitative components in an evaluation method are solved, and the risk of food pollution can be comprehensively evaluated.

Description

technical field [0001] The invention relates to the technical fields of data analysis and food safety, and mainly relates to a food risk comprehensive evaluation method based on an improved matter-element extension model. Background technique [0002] Food safety is an important public security issue, and it is also a social hot issue that people are very concerned about. As food safety issues have attracted more and more attention, government departments in various countries have strengthened food safety monitoring and control of the entire chain from farmland to dining table, thereby generating a large amount of food safety data. Food sampling data, as a common data in food safety data, involves multi-dimensional information such as food type, nutrition, pollutants, time, and region. It is difficult for relevant personnel to understand the data intuitively and comprehensively. Food safety involves whether the food contains toxic or harmful substances, which is related to...

AI Technical Summary

Problems solved by technology

The exceeding standard rate method only considers a single index when assessing food risk, which can only evaluate food risk from a certain aspect, and cannot fully reflect the comprehensive risk of food

The expert experience method gives the weight of each indicator completely through the expert's experience, while the AHP only relies on the expert experience to give the importance ratio of any pair of evaluation indicators, and then calculates the weight of the indicator through mathematical methods. These two methods are easy The importance of each indicator leads to contradictions, that is, inconsistency

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