fuzzy ontology

A fuzzy ontology is a way of organizing knowledge that allows for degrees of certainty or membership, rather than strict yes/no categories. Unlike traditional ontologies, which define clear boundaries (e.g., a person is either a student or not), fuzzy ontologies reflect real-world nuances—such as how much someone resembles a student. This approach helps in handling vague or uncertain information, enabling more flexible reasoning and decision-making in complex systems like natural language processing, AI, or knowledge management. It captures the shades of meaning often found in human knowledge and perceptions.