Editorial

Nowadays, this theory has been applied to spam e-mail filtering, investment decision-making, face recognition, recommender system design, clustering analysis, cognitive learning and many other aspects. [...]concept lattice has recently been integrated with three-way decisions in order to support three-way decisions in formal contexts, in which the main strategy is to incorporate the idea of ternary classification into the design of the extension and/or intension of a formal concept. The eleventh paper entitled “Attributes reduction and rules acquisition in an lattice-valued information system with fuzzy decision”, written by Xiaoyan Zhang, Ling Wei and Weihua Xu, proposes the notion of a lattice-valued information system with fuzzy decision by combining dominance relation and lattice structure. [...]attribute reduction and rule acquisition are also discussed. The final paper entitled “Name identification and extraction with formal concept analysis”, written by Kazem Taghva, describes how FCA identifies and extracts personal names as units of thought similar to the decoding of text sequences by Viterbi algorithm as used with Hidden Markov Models. [...]some advantages of this FCA approach are discussed as well.