A research summary about triadic concept analysis

Triadic concept analysis (TCA) is an extension of formal concept analysis (FCA), which can be applied to machine learning, data mining, information retrieval, and so on. This paper summarizes the current situation and the development tendency of TCA. We introduce TCA in this paper from four aspects: basic notions of triadic concept analysis, triadic implications and triadic association rules, triadic factor analysis and triadic fuzzy concept analysis.