A fuzzy approach for approximating formal concepts
In this paper we present a new approach for approximating concepts in the framework of formal concept analysis. We investigate two different problems. The first, given a set of features B (or a set of objects A), we are interested in finding a formal concept that approximates B (or A). The second, given a pair (A,B), where A is a set of objects and B is a set of features, we are interested in finding a formal concept that approximates (A,B). We develop algorithms for implementing the approximation techniques presented. The techniques developed in this paper use ideas from fuzzy sets. The approach we present is different and simpler than existing approaches which use rough sets.
Saquer, Jamil, and Jitender S. Deogun. "A fuzzy approach for approximating formal concepts." In International Conference on Rough Sets and Current Trends in Computing, pp. 269-276. Springer, Berlin, Heidelberg, 2000.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)