On the treatment of incomplete knowledge in formal concept analysis

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 1867, Issue , 2000, Pages 385-398

  Burmeister, Peter ^a   Holzer, Richard ^a  

^a DARMSTADT UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATION THEORY; COMPUTER CIRCUITS; INFORMATION ANALYSIS; KNOWLEDGE ACQUISITION; RECONFIGURABLE HARDWARE;

ATTRIBUTE EXPLORATION; DATA REPRESENTATIONS; INCOMPLETE KNOWLEDGE; SCALINGS; THREE-VALUED;

FORMAL CONCEPT ANALYSIS;

EID: 84958621131     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/10722280_27     Document Type: Conference Paper

References (8)

1. P. Burmeister. (assisted by A.Rust, P.Scheich and N.Newrly). ConImp — A program on formal concept analysis of one-valued contexts (running under MSDOS). Darmstadt University of Technology, 1986/99.
2. P. Burmeister. Merkmalimplikationen bei unvollständigem Wissen. In: W.Lex (ed.): Proceedings: Arbeitstagung Begriffsanalyse und Künstliche Intelligenz (Clausthal-Zellerfeld 6.- 8.10.1988); Technische Universität Clausthal, 1991, pp. 15–46.
3. P. Burmeister. ConImp — Ein Programm zur Formalen Begriffsanalyse. In: G.Stumme, R.Wille (eds.) Begriffliche Wissensverarbeitung: Methoden und Anwendungen, Springer, 2000. See also Formal Concept Analysis with ConImp: Introduction to the Basic Features; at http://www.mathematik.tu-darmstadt.de/∼burmeisterG00.
4. B. Ganter. Begriffe und Implikationen. In: G.Stumme, R.Wille (eds.) Begriffliche Wissensverarbeitung: Methoden und Anwendungen, Springer, 2000.
5. B. Ganter, R. Wille. Formal Concept Analysis — Mathematical Foundations. Springer, 1999.
6. R. Holzer. Begriffliche Methoden bei der Behandlung unvollständigen Wissens. Department of Mathematics, Darmstadt University of Technology: Doctoral thesis, in preparation.
7. R. Wille. Knowledge acquisition by methods of formal concept analysis. In: E.Diday (ed.): Data analysis, learning symbolic and numeric knowledge. Nova Science Publishers, New York – Budapest, 1989, pp. 365–380.
8. K.E. Wolff. A first course in formal concept analysis. In: F.Faulbaum (ed.): SoftStat’93, Advances in Statistical Software 4, pp. 429–438.