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International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems

IPMU 1990: Uncertainty in Knowledge Bases pp 509–519Cite as

Fuzzy multicriteria techniques: An application to transport planning

  • 9. Decision-Making Uncer Uncertainty
  • Conference paper
  • First Online:

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

Abstract

This paper deals with the problem of allocating a fixed budget between a set of competing investment proposals. Based on previous practical experience with problems of this type, an analysis using the fuzzy outranking approach promised to be potentially effective. A decision aid computer package has been developed and applied to a case study. It proved to be flexible and to give additional insights into the structure of the set of alternatives.

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References

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Author information

Authors and Affiliations

  1. School of Business and Economic Studies, The University, LS2 9JT, Leeds, UK

    Alan D. Pearman

  2. Dept. Statistics & O.R., Faculty of Mathematics, Complutense University, 28040, Madrid, Spain

    Javier Montero & Juan Tejada

Authors
  1. Alan D. Pearman
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  2. Javier Montero
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  3. Juan Tejada
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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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Pearman, A.D., Montero, J., Tejada, J. (1991). Fuzzy multicriteria techniques: An application to transport planning. 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/BFb0028138

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  • DOI: https://doi.org/10.1007/BFb0028138

  • Published:

  • 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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