Abstract
Formal Concept Analysis is a mathematical method of qualitative data analysis. The present experiment was aimed at finding out if and how far graphical representation tools of Formal Concept Analysis can be used to support choice decisions. This new approach is mainly descriptive and intends both to increase the large number of practical applications of Formal Concept Analysis and to enrich the cognitive-psychological field of Decision Analysis by mathematicalalgebraic aspects.
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References
GANTER, B. and WILLE, R. (1996): Formale Begriffsanalyse: Mathematische Grundlagen. Springer, Berlin-Heidelberg.
LIENERT, G.A. (1962): Verteilungsfreie Methoden in der Biostatistik. Hain, Meisenheim.
KOLLEWE, W. et al. (1994): TOSCANA — ein Werkzeug zur begrifflichen Analyse und Erkundung von Daten. In: WILLE, R., ZICKWOLFF, M. (Eds.): Begriffliche Wissensverarbeitung — Grundfragen und Aufgaben. B.I.-Wissenschaftsverlag, Mannheim. 171–193.
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© 1999 Springer-Verlag Berlin · Heidelberg
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Rönsch, T., Weißhahn, G. (1999). Decision Support By Order Diagrams. In: Gaul, W., Locarek-Junge, H. (eds) Classification in the Information Age. Studies in Classification, Data Analysis, and Knowledge Organization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-60187-3_34
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DOI: https://doi.org/10.1007/978-3-642-60187-3_34
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-65855-9
Online ISBN: 978-3-642-60187-3
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