On equivalence of conceptual scaling and generalized one-sided concept lattices

Customized Web-based System for Elderly People Using Elements of Artificial Intelligence

“…Equally important is a selection of the appropriate attributes for an effective diagnostics [17], [4], [5]. Authors in [1] used data collected in a family practice from Croatia to extract the patient's characteristics necessary for the positive diagnosis of the Metabolic Syndrome.…”

Attribute reduction in generalized one-sided formal contexts

“…On the other hand, Krajči [20], Yahia et al [45] and Zhang et al [48], independently, proposed the "one-sided fuzzy concept" in which the extents of the concepts are crisp and the intents are fuzzy, or the extents are fuzzy and the intents are crisp. Based on Galois connections, Butka and Pócs [7,8], Halaš and Pócs [17], respectively, extended "one-sided fuzzy concept" and proposed the "generalized one-sided formal concept" to A C C E P T E D M A N U S C R I P T deal with different truth value structures of attributes.…”

Fuzzy concept lattice reduction using Shannon entropy and Huffman coding

“…Several approaches have been proposed for reducing the size of the concept lattice, such as fuzzy K-means (Kumar & Srinivas, 2010) non-negative matrix factorisation (Kumar, Dias, & Vieira, 2015), hedges (Bělohlávek & Vychodil, 2005a), mapping (Butka, Pocs, & Pocsova, 2014;Singh & Kumar, 2014b), granulation-based decomposition (Kang, Li, Wang, & Qu, 2012;Singh & Kumar, 2012b;Wu, Leung, & Mi, 2009), and other methods Medina, 2012;. In recent years researchers have concentrated on the selection of formal concepts using their weight (Babin & Kuznetsov, 2012;Bělohlávek & Macko, 2011;Bělohlávek & Trnecka, 2012) at different granulations (Li, Mei, Xu, & Qian, 2015) of their weight (Dias & Viera, 2013;Li, He, & Zhu, 2013;Zhang, Guo, Zhang, Wang, & Pedrycz, 2012), such that the changes between fuzzy concept lattices can be measured (Martin, Rahim, & Mazidian, 2013).…”