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Multi-criteria decision making in terms of probabilistic sets

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Book cover Uncertainty and Intelligent Systems (IPMU 1988)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 313))

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Abstract

The paper presents a method dealing under imprecision and uncertainty. It is assumed that over the set of elements (alternatives) there exist a finite number of probabilistic sets representing various criteria. These sets are aggregated using different connectives in order to obtain a final decision set. Using criteria based on stochastic dominance and mean-variance values the final ordering of the alternatives is proposed here as well. The ideas are illustrated by means of numerical example.

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References

  1. Bellman R., Zadeh L.A., Decision making in a fuzzy environment, Management Science 17, 1970, 141–164

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  2. Czogala E., A dominance of alternatives for decision making in probabilistic fuzzy environment, in Trappl (ed), Cybernetics and Systems 86, 591–598.

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Authors and Affiliations

  1. Silesian Technical University, Pstrowskiego 16, 44-101, Gliwice, Poland

    Ernest Czogala

Authors
  1. Ernest Czogala
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Editor information

B. Bouchon L. Saitta R. R. Yager

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© 1988 Springer-Verlag Berlin Heidelberg

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Czogala, E. (1988). Multi-criteria decision making in terms of probabilistic sets. In: Bouchon, B., Saitta, L., Yager, R.R. (eds) Uncertainty and Intelligent Systems. IPMU 1988. Lecture Notes in Computer Science, vol 313. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-19402-9_93

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  • DOI: https://doi.org/10.1007/3-540-19402-9_93

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-19402-6

  • Online ISBN: 978-3-540-39255-2

  • eBook Packages: Springer Book Archive

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