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Determining the Expected Value of a Variable on the Basis of Fuzzy Evidence

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Progress in Fuzzy Sets and Systems

Part of the book series: Theory and Decision Library ((TDLD,volume 5))

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Abstract

The problem of determining the expected value of a variable basing on a fuzzy evidence of the type “Pr (V is A) is Q” is considered. Formal properties of the problem, as well as a set of procedures solving it, are given. The procedures are written in TURBO Pascal. With their help r—levels of the fuzzy expected value for any fixed r∈(0, 1], as well as for all r∈(0,1] at the same time, can be determined.

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References

  1. Chanas, S. and Florkiewicz, B. (1988) ‘Deriving expected values from probabilities of fuzzy subsets’, Inst. Org. i Zarz. Politechniki Wr., Report No. 34 (submitted to European Journal of Operational Research).

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  2. Gass, S.J. (1969) Linear Programming — Methods and Applications, McGraw-Hill Book Company, New York.

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© 1990 Kluwer Academic Publishers

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Chanas, S., Florkiewicz, B. (1990). Determining the Expected Value of a Variable on the Basis of Fuzzy Evidence. In: Janko, W.H., Roubens, M., Zimmermann, HJ. (eds) Progress in Fuzzy Sets and Systems. Theory and Decision Library, vol 5. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-2019-4_5

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  • DOI: https://doi.org/10.1007/978-94-009-2019-4_5

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-7405-6

  • Online ISBN: 978-94-009-2019-4

  • eBook Packages: Springer Book Archive

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