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An application of fuzzy multi-criteria decision making for topological design of large networks

  • 9. Decision-Making Uncer Uncertainty
  • Conference paper
  • First Online:
Uncertainty in Knowledge Bases (IPMU 1990)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

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Abstract

In this paper, techniques of fuzzy nultiple attribute decision making are applied to the design and analysis of large network topologies. A theoretical approach is presented that is computationally efficient, and broadly applicable to a wide class of large network design problems. This approach was developed to allow rapid analysis of performance trade-offs inherent in a broad range of topological network structures, and to assess and identify the sensitivity of design selection to changes in the decision criteria.

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References

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Authors and Affiliations

  1. Polytechnic University, 333 Jay Street, Brooklyn, New York

    Aaron Kershenbaum & Teresa Rubinson

Authors
  1. Aaron Kershenbaum
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  2. Teresa Rubinson
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Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Kershenbaum, A., Rubinson, T. (1991). An application of fuzzy multi-criteria decision making for topological design of large networks. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028140

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  • DOI: https://doi.org/10.1007/BFb0028140

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

  • eBook Packages: Springer Book Archive

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