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Related Experiment Video

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Fat Preference: A Novel Model of Eating Behavior in Rats
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Published on: June 27, 2014

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Multiple attribute decision making model and application to food safety risk evaluation.

Lihua Ma1,2, Hong Chen1, Huizhe Yan2

  • 1School of Management, China University of Mining and Technology, Xuzhou, P.R. China.

Plos One
|December 21, 2017
PubMed
Summary

Supermarket food purchasing involves complex networks. This study introduces a new supplier evaluation model using fuzzy sets to improve decision-making accuracy in food selection.

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Last Updated: Feb 16, 2026

Fat Preference: A Novel Model of Eating Behavior in Rats
05:57

Fat Preference: A Novel Model of Eating Behavior in Rats

Published on: June 27, 2014

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Area of Science:

  • Decision Sciences
  • Supply Chain Management
  • Food Science

Background:

  • Supermarket food purchasing decisions are influenced by intricate network relationships among stakeholders.
  • Understanding these network dynamics is crucial for effective supplier selection and evaluation.
  • Existing models may not fully capture the complexity of food production and decision-making processes.

Purpose of the Study:

  • To analyze key factors influencing supermarket food selection.
  • To propose a comprehensive supplier evaluation index system covering the entire food production process.
  • To develop and validate a novel decision-making model for food purchasing.

Main Methods:

  • Analysis of factors affecting supermarket food selection.
  • Development of a supplier evaluation index system based on the food production lifecycle.
  • Establishment of an intuitive interval value fuzzy set evaluation model.
  • Validation through a multiple attribute decision-making case study.

Main Results:

  • The study identified critical factors influencing food selection in supermarkets.
  • A robust supplier evaluation index system was proposed, integrating the food production chain.
  • The intuitive interval value fuzzy set model demonstrated reliability and accuracy.
  • The model effectively handles the network characteristics of decision-makers.

Conclusions:

  • Network relationships significantly characterize supermarket food purchase decisions.
  • The proposed supplier evaluation index system offers a holistic approach to assessing food suppliers.
  • The intuitive interval value fuzzy set model provides a reliable and accurate method for multiple attribute decision-making in food purchasing.
  • This research contributes a valuable tool for optimizing supermarket food procurement strategies.