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Fuzzy Theorie und Stochastik, 1999

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Rudolf Seising:
Fuzzy Theorie und Stochastik. Computational Intelligence, Vieweg+Teubner 1999, ISBN 978-3-528-05682-7
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Rudolf Seising:
Einleitung. 1-37
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Bernd Buldt:
Supervaluvagefuzzysoritalhistorisch, oder: Ein kurzer Bericht der langen Geschichte, wie die Vagheit auf den Begriff und unter die Formel kam. 41-85
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Ivo Schneider:
Die Stochastik zwischen Laplace und Poincaré. 86-128
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Thomas Hochkirchen:
Wahrscheinlichkeitsrechnung im frühen 20. Jahrhundert - Aspekte einer Erfolgsgeschichte. 129-160
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Hans-Jürgen Zimmermann:
Von der Fuzzy Set Theorie zur Computational Intelligence. 161-181
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Siegfried Gottwald:
Mehrwertige Logik und unscharfe Mengen. 185-204
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Erich-Peter Klement, Radko Mesiar, Endre Pap:
Bausteine der Fuzzy Logic: t-Normen - Eigenschaften und Darstellungssätze. 205-225
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Ulrich Höhle:
Allgemeine Bemerkungen zu nichtklassischen Logiken. 226-236
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Volker Mammitzsch:
Fuzzy Theorie als Alternative zur Stochastik - Was heißt hier: Eine Alternative? 239-243
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Reinhard Viertl:
Fuzzy Daten und Stochastik. 244-250
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Hans Bandemer:
Unscharfe Analyse unscharfer Daten. 251-267
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Rudolf Avenhaus, Rudolf Seising:
Fuzzy Theorie - eine Alternative zur Stochastik? Eine Podiumsdiskussion. 268-283
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Hans-Jürgen Zimmermann:
Zur Modellierung von Unsicherheit realer Probleme. 287-301
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Rainer Palm:
Fuzzy Regelung. 302-334
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Fritz Lehmann:
Behandlung von Ungewißheit und Vagheit in Kommunikationsnetzen. 335-354
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Thomas A. Runkler:
Probabilistische und Fuzzy Methoden für die Clusteranalyse. 355-369
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Christian Borgelt, Jörg Gebhardt, Rudolf Kruse:
Fuzzy Methoden in der Datenanalyse. 370-386
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Martin Appl, Jürgen Hollatz:
Anwendung von Fuzzy Systemen zur Prozeßoptimierung. 387-412

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