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Fuzzy logic approach for knowledge modeling in an Ontology: A review

Authors :
Kolyang
Abdoul Azize Kindo
Gaoussou Camara
Sadouanouan Malo
Guidedi Kaladzavi
Théodore Tapsoba
Source :
2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC).
Publication Year :
2020
Publisher :
IEEE, 2020.

Abstract

Fuzzy logic is an extension of Boolean logic created by Lotfi Zadeh in 1965 based on his mathematical theory of fuzzy sets, which is a generalization of classical set theory. By introducing the notion of degree or possibility, fuzzy logic confers very appreciable flexibility to the reasoning, which uses it, which makes it possible to take into account imprecision and uncertainties. Despite a beginning of reluctance and even rejection of the theory of fuzzy logic, it has been used in many fields. Today, its usefulness and its reputation are no longer to be demonstrated because more than 50 years after its appearance, it has been well adopted by engineers and part of the scientific world. In this paper, we present a state of the art on fuzzy logic and its use in the field of knowledge representation and more specifically in ontology modeling using OWL and SWRL.

Details

Database :
OpenAIRE
Journal :
2020 IEEE 2nd International Conference on Smart Cities and Communities (SCCIC)
Accession number :
edsair.doi...........66326967ef0d6488ac8aa505947e33c3