Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph

Modeling adoption of genetically modified foods: Application of Rough Set Theory and Flow Network Graph

IntroductionThe main purpose of this study is to extract the rules and patterns governing the behavioral intention of consumers towards the adoption of genetically modified foods (GMFs).MethodThe proposed method is a combination of Rough Set Theory (RST) and Flow Network Graph (FNG). Data was collec...

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Bibliographic Details
Main Authors: Morteza Akbari, Nasrin Mahavarpour, Fatemeh Moshkdanian, Parisa Maroufkhani
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-01-01
Series:Frontiers in Sustainable Food Systems
Subjects:
genetically modified foods (GMFs)
Flow Network Graphs
Rough Set Theory
decision analysis
intention
Online Access:https://www.frontiersin.org/articles/10.3389/fsufs.2022.992054/full

Internet

https://www.frontiersin.org/articles/10.3389/fsufs.2022.992054/full

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