Belohlavek, Radim A note on variable threshold concept lattices: threshold-based operators are reducible to classical concept-forming operators. (English) Zbl 1119.06004 Inf. Sci. 177, No. 15, 3186-3191 (2007). Summary: The present paper deals with formal concept analysis of data with fuzzy attributes. We clarify several points of a new approach of S. Q. Fan and W. X. Zhang [“Variable threshold concept lattice”, Inf. Sci. (to appear)], which is based on using thresholds in concept-forming operators. We show that the extent- and intent-forming operators of Fan and Zhang [loc. cit.] can be defined in terms of basic fuzzy set operations and the original operators as introduced and studied, e.g., by the present author [“Fuzzy Galois connections”, Math. Log. Q. 45, 497–504 (1999; Zbl 0938.03079); “Concept lattices and order in fuzzy logic”, Ann. Pure Appl. Logic 128, 277–298 (2004; Zbl 1060.03040)] and S. Pollandt [Fuzzy-Begriffe. Formale Begriffsanalyse unscharfer Daten. Berlin: Springer (1997; Zbl 0870.06008)]. As a consequence, the main properties of the new operators of Fan and Zhang [loc. cit.], including the properties studied by Fan and Zhang themselves, can be obtained as consequences of the original operators of the author [loc. cit.] and S. Pollandt [loc.cit.]. Cited in 1 ReviewCited in 12 Documents MSC: 06B99 Lattices 03B52 Fuzzy logic; logic of vagueness 06A15 Galois correspondences, closure operators (in relation to ordered sets) 68T30 Knowledge representation Keywords:concept lattice; Galois connection; fuzzy logic; formal concept analysis Citations:Zbl 0938.03079; Zbl 1060.03040; Zbl 0870.06008 PDF BibTeX XML Cite \textit{R. Belohlavek}, Inf. Sci. 177, No. 15, 3186--3191 (2007; Zbl 1119.06004) Full Text: DOI OpenURL References: [1] Belohlavek, R., Fuzzy Galois connections, Math. logic quarterly, 45, 4, 497-504, (1999) · Zbl 0938.03079 [2] Belohlavek, R., Fuzzy relational systems: foundations and principles, (2002), Kluwer, Academic/Plenum Publishers New York · Zbl 1067.03059 [3] Belohlavek, R., Concept lattices and order in fuzzy logic, Ann. pure appl. logic, 128, 277-298, (2004) · Zbl 1060.03040 [4] Belohlavek, R.; Outrata, J.; Vychodil, V., Thresholds and shifted attributes in formal concept analysis of data with fuzzy attributes, (), 117-130 · Zbl 1194.68216 [5] Belohlavek, R.; Sklenář, V.; Zacpal, J., Crisply generated fuzzy concepts, (), 268-283 · Zbl 1078.68142 [6] R. Belohlavek, V. Vychodil, Reducing the size of fuzzy concept lattices by hedges, in: FUZZ-IEEE 2005, The IEEE International Conference on Fuzzy Systems, May 22-25, 2005, Reno (Nevada, USA), pp. 663-668. [7] R. Belohlavek, V. Vychodil, What is a fuzzy concept lattice? in: Proceedings of CLA 2005, 3rd International Conference on Concept Lattices and Their Applications, September 7-9, 2005, Olomouc, Czech Republic, pp. 34-45, URL: http://ceur-ws.org/Vol-162/. [8] Ben Yahia, S.; Jaoua, A., Discovering knowledge from fuzzy concept lattice, (), 167-190 [9] Elloumi, S., A multi-level conceptual data reduction approach based in the łukasiewicz implication, Inf. sci., 163, 4, 253-264, (2004) · Zbl 1076.68085 [10] S.Q. Fan, W.X. Zhang, Variable threshold concept lattice, Inf. Sci., accepted for publication. · Zbl 1130.06004 [11] Ganter, B.; Wille, R., Formal concept analysis. mathematical foundations, (1999), Springer-Verlag Berlin · Zbl 0909.06001 [12] Georgescu, G.; Popescu, A., Non-commutative fuzzy Galois connections, Soft comput., 7, 458-467, (2003) · Zbl 1024.03025 [13] Georgescu, G.; Popescu, A., Concept lattices and similarity in non-commutative fuzzy logic, Fundamenta informat., 53, 1, 23-54, (2002) · Zbl 1023.03016 [14] Georgescu, G.; Popescu, A., Non-dual fuzzy connections, Arch. math. logic, 43, 8, 1009-1039, (2004) · Zbl 1060.03042 [15] Hájek, P., Metamathematics of fuzzy logic, (1998), Kluwer Dordrecht · Zbl 0937.03030 [16] Krajči, S., Cluster based efficient generation of fuzzy concepts, Neural network world, 5, 521-530, (2003) [17] Pollandt, S., Fuzzy begriffe, (1997), Springer-Verlag Berlin/Heidelberg · Zbl 0870.06008 This reference list is based on information provided by the publisher or from digital mathematics libraries. Its items are heuristically matched to zbMATH identifiers and may contain data conversion errors. It attempts to reflect the references listed in the original paper as accurately as possible without claiming the completeness or perfect precision of the matching.