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

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.