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

A comprehensive evaluation and food technology, applied in the field of data analysis and food safety, can solve problems such as inability to fully reflect the comprehensive risk of food, inconsistency, and contradictions in the importance of indicators, so as to overcome the strong subjectivity of weight, eliminate redundancy, and reduce The effect of subjective error on the probability of occurrence

Pending Publication Date: 2022-01-04
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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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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  • Food risk comprehensive evaluation method based on improved matter element extension model
  • Food risk comprehensive evaluation method based on improved matter element extension model
  • Food risk comprehensive evaluation method based on improved matter element extension model

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Embodiment Construction

[0055] Below in conjunction with accompanying drawing, further describe the present invention through embodiment, but do not limit the scope of the present invention in any way. The present invention provides a food risk comprehensive evaluation method based on the improved matter-element extension model, the process flow of the method is as follows figure 1 shown. The following example is a process of comprehensively evaluating the risk of milk and dairy products sampled by a customs using the food risk comprehensive evaluation model based on the improved matter-element extension model provided by the present invention. The specific process is as follows: figure 2 shown. Firstly, data preprocessing is carried out, and data cleaning and missing value processing are performed on the food sampling data set. Then integrate and count the data, and select a certain number of evaluation indicators according to the detection rate of food pollutants, pollutant toxicity, pollutant t...

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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...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/06G06Q50/02
CPCG06Q10/0635G06Q10/06393G06Q50/02
Inventor 陈谊武彩霞孙梦
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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