Publication | Open Access
Evaluation of food safety problems based on the fuzzy comprehensive analysis method
38
Citations
33
References
2021
Year
Artificial IntelligenceNutritionFuzzy SystemsEngineeringAgricultural EconomicsSafe FoodIntelligent SystemsFuzzy Risk AnalysisFuzzy Multi-criteria Decision-makingFood ControlFuzzy OptimizationPublic HealthFuzzy Expert SystemsHealth SciencesFuzzy LogicFuzzy ComputingFood Quality AssuranceFood Safety ProblemsFood QualityNutrition Food SafetyFood Safety Risk AssessmentEpidemiologyFood SafetyFuzzy MathematicsFuzzy Expert System
To preserve life and promote health, it is critical to have access to appropriate quantities of safe food. Foodborne illness is an infectious illness or poisoning caused by viruses, bacteria, or chemicals that contaminate food or water. Food safety and health are the responsibility of everyone, from the agricultural chain to the consumer who comes into touch with food, in order to limit the amount of food poisonings. Nutritionists feel that the home, or the location where the consumer prepares food, is one of the least supervised steps all the way from the farm to the table. Dr. Lotfi Zadeh invented fuzzy logic as a superset of classical logic. This article covers the mathematical foundations of fuzzy logic, as well as membership functions, fuzzy sets, and reasoning rules. Input numbers are converted into linguistic values by fuzzy expert systems, which are subsequently modified by if-then rules provided by a human expert. The notion of a fuzzy expert system is explored in-depth, along with its rule-base and set membership functions.
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