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Related Experiment Video

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A Rice Hazards Risk Assessment Method for a Rice Processing Chain Based on a Multidimensional Trapezoidal Cloud

Jiabin Yu1,2, Huimin Chen1, Xin Zhang1,2

  • 1School of Artificial Intelligence, Beijing Technology and Business University, Beijing 100048, China.

Foods (Basel, Switzerland)
|March 29, 2023
PubMed
Summary

A new risk assessment method for rice processing chains uses a multidimensional trapezoidal cloud model. This approach offers more accurate and reasonable evaluations for improved food safety and rice security.

Keywords:
dynamic weightmultidimensional trapezoidal cloud modelrice processing chainrisk assessment

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Area of Science:

  • Food Science
  • Risk Assessment
  • Agricultural Engineering

Background:

  • Rice is a staple food, making its safety crucial for public health.
  • Ensuring rice processing safety is vital for overall food security.
  • Existing risk assessment methods for rice processing chains have limitations, including fixed weighting and unreasonable thresholds.

Purpose of the Study:

  • To develop an improved risk assessment method for rice processing chains.
  • To address limitations of current methods, such as fixed weights and arbitrary thresholds.
  • To enhance the accuracy and reasonableness of rice processing chain risk evaluations.

Main Methods:

  • A multidimensional trapezoidal cloud model was established for risk evaluation.
  • Atanassov's interval-valued intuition language numbers (AIVILNs) were used to determine cloud model parameters.
  • A hybrid weighting approach combining static (Analytic Hierarchy Process - AHP) and dynamic weights (exponential function) was implemented.

Main Results:

  • The proposed method demonstrated higher accuracy and reasonableness in evaluating rice processing chain risks compared to existing methods.
  • Validation using 104 datasets confirmed the method's effectiveness.
  • The approach provides a robust decision-making basis for food safety authorities.

Conclusions:

  • The multidimensional trapezoidal cloud model offers a superior approach to rice processing chain risk assessment.
  • This method enhances the reliability of food safety evaluations.
  • It supports more effective decision-making for food safety supervision and rice security.