Open AccessIntegration of FCA with Fuzzy logic : A survey
Author(s) -
Mohammed Alwersh
Publication year - 2021
Publication title -
multidiszciplináris tudományok
Language(s) - English
Resource type - Journals
eISSN - 2786-1465
pISSN - 2062-9737
DOI - 10.35925/j.multi.2021.5.41
Subject(s) - formal concept analysis , fuzzy logic , computer science , data mining , knowledge extraction , key (lock) , imperfect , information retrieval , data science , artificial intelligence , algorithm , linguistics , philosophy , computer security
The theory of formal concept analysis(FCA), which was developed in the early 1980s (Ganter and Wille, 1999), has evolved into an effective technique for data analysis, knowledge discovery and information retrieval. The study on expanding the theory of FCA to deal with uncertain and imperfect data has made considerable progress in recent years. In this paper, we will introduce a survey of the research papers on integrating FCA with fuzzy logic. The key goal is to investigate and compare different fuzzy FCA approaches that have been proposed and to clarify relationships between these approaches, as well as we will introduce a survey of the research papers on employing FCA with fuzzy logic in knowledge discovery in databases and data mining, information retrieval and ontology engineering.