Li, Shuangling; Qin, Keyun Attribute reduction in L-fuzzy formal contexts. (English) Zbl 1474.68348 Ann. Fuzzy Math. Inform. 19, No. 2, 127-137 (2020). Summary: Attribute reduction plays an important role in formal concept analysis. The existing work on attribute reduction of fuzzy formal context focuses mainly on one-sided fuzzy formal concepts. This paper is devoted to the study of attribute reduction for general L-fuzzy formal context. Some judgement theorems for a set of attributes to be consistent are presented. By using the discernibility function composed of discernibility attributes between related L-fuzzy formal concepts, an approach to compute attribute reductions is proposed. An illustrative example is presented which justify the method presented in this study. MSC: 68T30 Knowledge representation 68T37 Reasoning under uncertainty in the context of artificial intelligence Keywords:fuzzy formal contexts; attribute reduction; discernibility attributes PDFBibTeX XMLCite \textit{S. Li} and \textit{K. Qin}, Ann. Fuzzy Math. Inform. 19, No. 2, 127--137 (2020; Zbl 1474.68348) Full Text: DOI