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Zur Modellierung von Unsicherheit realer Probleme

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Book cover Fuzzy Theorie und Stochastik

Part of the book series: Computational Intelligence ((CI))

Zusammenfassung

Dieser Aufsatz beschäftigt sich ausschließlich mit Anwendungen bzw. der Modellierung von Anwendungen.

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Literaturverzeichnis

  1. Atanassov, K. T.: Intuitonistic fuzzy sets. Fuzzy Sets and Systems, 20, S. 87–96, 1986.

    Google Scholar 

  2. Bellmann, R.; Zadeh, L. A.: Decision-making in a fuzzy environment. Management Scie, 17, B-141–164, 1970.

    Google Scholar 

  3. Ben-Haim, Y.; Elishakoff, I.: Convex Models of Uncertainty in Applied Mechanics. Elsevier Science Publishers, Amsterdam 1990.

    MATH  Google Scholar 

  4. Dubois, D.; Prade, H.: Possibility Theory. New York, London 1988.

    Google Scholar 

  5. Dubois, D.; Prade, H.: Fuzzy sets, probability and measurement. European Journal of Ope- rational Research, 40, S. 135–154, 1989.

    Google Scholar 

  6. Goodman, I. R.; Nguyen, H. T.: Uncertainty Models for Knowledge-based Systems. North Holland 1985.

    Google Scholar 

  7. Kandel, A.; Langholz, G. (Hrsg.): Hybrid Architectures for Intelligent Systems. Crc Press, Boca Raton. 1992.

    Google Scholar 

  8. Klein, R. L.; Methlie, L. B.: Knowledge-Based Decision Support Systems. 2. Auflage, Wiley, Chichester. 1995.

    Google Scholar 

  9. Klir, G. J.; Folger, T. A.: Fuzzy Sets, Uncertainty and Information. Prentice-Hall, Englewood Cliffs. 1988.

    MATH  Google Scholar 

  10. Klir, G. J.: Where do we stand on measures of uncertainty, ambiguity, fuzziness, and the like? Fuzzy Sets and Systems, 24, S. 141–160, 1987.

    Google Scholar 

  11. Newell, A.; Simon, H. A.: Human Problem Solving. Prentice-Hall, Englewood Cliffs. 1972.

    Google Scholar 

  12. Pawlak, Z.: Rough sets. Fuzzy Sets and Systems, 17, S. 99–102, 1985.

    Article  MathSciNet  MATH  Google Scholar 

  13. Saaty, TH. L.: Exploring the interface between hierarchies, multiple objectives and fuzzy sets. Fuzzy Sets and Systems, 1, S. 57–68, 1978.

    Article  MathSciNet  MATH  Google Scholar 

  14. Schneider, D.: Meßbarkeit subjektiver Wahrscheinlichkeiten als Erscheinungsformen der Ungewißheit. Zeitschrift für betriebswirtschaftliche Forschung, 31, S. 89–122, 1979.

    Google Scholar 

  15. Shafer, G. A.: A Mathematical Theory of Evidence. Princeton 1976.

    Google Scholar 

  16. Sneath, P. H. A.; Sokal, R.: Numerical Taxonomy. San Francisco 1973.

    Google Scholar 

  17. Turban, E.: Decision Support and Expert Systems. 2. Auflage, Macmillan, New York 1988.

    Google Scholar 

  18. Werners, B.: Interaktive Entscheidungsunterstützung durch ein flexibles mathematisches Programmierungssystem. München 1984.

    Google Scholar 

  19. Werners, B.: Aggregation models in mathematical programming G Mitra (Hrsg.). Mathematical Models for Decision Support,Springer Verlag, S. 295–319, 1988.

    Google Scholar 

  20. Yager, R. R.: Fuzzy decision making including unequal objectives. Fuzzy Sets and Systems, 1, S. 87–95, 1978.

    Article  MATH  Google Scholar 

  21. Yager, R. R.; Zadeh, L. A. (Hrsg.): An Introduction to Fuzzy Logic Applications in Intelligent Systems. Kluwer, Boston 1992.

    Book  MATH  Google Scholar 

  22. Zimmermann, H.-J.: Fuzzy programming and linear programming with several objective functions. Fuzzy Sets and Systems, 1, S. 45–55, 1978.

    Google Scholar 

  23. Zimmermann, H.-J.; Zysno, P.: Latent connectives in human decision making. Fuzzy Sets and Systems, 4, S. 37–51, 1980.

    Article  MATH  Google Scholar 

  24. Zimmermann, H.-J.; Zysno, P.: Decisions evaluations by hierarchical aggregation of information. Fuz- zy Sets and Systems, 10, S. 243–266, 1983.

    Article  MATH  Google Scholar 

  25. Zimmermann, H.-J.; Zadeh, L. A.; Gaines, B. R. (Hrsg.): Fuzzy Sets and Decision Analysis. North-Holland, Amsterdam 1984.

    Google Scholar 

  26. Zimmermann, H.-J.: Multi Criteria Decision Making in Crisp and Fuzzy Environments. In: Jones, ET AL. (Hrsg.). Fuzzy Sets and Applications. Reidel, Dodrecht, S. 233–256, 1985.

    Google Scholar 

  27. Zimmermann, H.-J.: Fuzzy Sets, Decision Making, and Expert Systems. Boston, Dordrecht, Lancaster 1987.

    Google Scholar 

  28. Zimmermann, H.-J.: Uncertainties in Expert Models. In: Mitra, G. (Hrsg.) Mathema- tical Models for Decision Support, Springer Verlag, S. 613–630, 1988.

    Google Scholar 

  29. Zimmermann, H.-J.: Cognitive Sciences, Decision Technology and Fuzzy Sets. Information Sciences, 57 /58, S. 287–295, 1991.

    Article  Google Scholar 

  30. Zimmermann, H.-J.: Fuzzy Sets, Decision Making and Expert Systems. Kluwer, Boston 1991.

    Google Scholar 

  31. Zimmermann, H.-J.:: Fuzzy Set Theory and its Applications, 3. Auflage, Boston 1996.

    Google Scholar 

  32. Zimmermann, H.-J.: Uncertainty Modeling and Fuzzy Sets. In: Ben-Haim, Y.; Natke, H. G. (Hrsg.): Uncertainty: Models and Measures, 84–101, München 1997.

    Google Scholar 

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Authors
  1. Hans-Jürgen Zimmermann
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Editors and Affiliations

  1. München, Deutschland

    Rudolf Seising

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© 1999 Springer Fachmedien Wiesbaden

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Zimmermann, HJ. (1999). Zur Modellierung von Unsicherheit realer Probleme. In: Seising, R. (eds) Fuzzy Theorie und Stochastik. Computational Intelligence. Vieweg+Teubner Verlag, Wiesbaden. https://doi.org/10.1007/978-3-663-10120-8_13

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  • DOI: https://doi.org/10.1007/978-3-663-10120-8_13

  • Publisher Name: Vieweg+Teubner Verlag, Wiesbaden

  • Print ISBN: 978-3-528-05682-7

  • Online ISBN: 978-3-663-10120-8

  • eBook Packages: Springer Book Archive

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