Ontology-based Multi-Agent System on Fuzzy Markup Language in Healthy Lifestyle
Keywords:
Knowledge Management, Ontology, fuzzy markup language, eating habitsAbstract
The best ways to avoid illness are to lead a healthy lifestyle and eat a balanced diet. A healthy lifestyle is centered on good eating practices. A person's risk of illness will rise if they consistently consume too little or too much. Thus, the development of balanced and healthful eating habits is crucial to the prevention of disease. To record and depict the agents as well as their actions, which give them the capacity for reasoning, we also propose an ontology-based category knowledge and context framework. The procedure has been helped to accomplish that goal by the introduction of numerous strategies and technology. One technique that is gaining popularity to support knowledge exchange within organizations is ontology, which is a method of representing knowledge. This work offers an ontology-based multi-agent system (OMAS) for diet health evaluation that consists of a fuzzy inference agent, a semantic generation agent, and an individual information agent. The users are then asked to enter the foods they have consumed. Lastly, subject matter experts construct the ontologies for food and personal profiles. The OMAS's knowledge base and rule base are described using fuzzy markup language (FML). The primary output of basic research in healthcare informatics is the development of domain ontologies and problem-solving techniques. Consequently, our scientific community has to give these ideas more consideration.
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