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Decisions with Usual Values

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Fuzzy Sets Theory and Applications

Part of the book series: NATO ASI Series ((ASIC,volume 177))

Abstract

In many situations the type of information available to a decision maker consists of rules and/or payoffs which are based upon usual happenings. In this paper we provide a framework for making decisions in these kinds of environments.

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References

  1. Zadeh, L.A., ‘Fuzzy sets as a basis for a theory of possibility’, Fuzzy Sets and Systems 1, 3–28, 1978.

    Article  MathSciNet  MATH  Google Scholar 

  2. Yager, R.R., ‘Entropy and specificity in a mathematical theory of evidence’, Int. J. of General Systems 9, 249–260, 1983.

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  3. Zadeh, L.A., ‘Fuzzy Sets’, Information and Control 8, 338–353, 1965.

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  4. Yager, R.R., ‘On usual values in commonsense reasoning’, Tech. Report #MII-605, Machine Intelligence Institute, Iona College, 1986.

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  5. Shafer, G. ‘A Mathematical Theory of Evidence’, Princeton University Press: Princeton, N.J., 1976.

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  6. Zadeh, L.A., ‘A theory of approximate reasoning’, in Machine Intelligence 9, Hayes, J. Michie, D., and Mikulich, L.I.(Edc), John Wiley and Sons: New York, 149–194, 19

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  7. Yager, R.R., ‘The entailment principle for Dempster-Shafer granules’, Tech. Report #MII-512, Machine Intelligence Institute, Iona College, 1985.

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  8. Yager, R.R., ‘On the Dempster-Shafer framework and new combination rules’, Tech. Report #MII-504, Machine Intelligence Institute, Iona College, 1985.

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  9. Yager, R.R., ‘A procedure for ordering fuzzy subsets of the unit interval’, Inf. Sciences 24, 143–181, 1981.

    Article  MathSciNet  MATH  Google Scholar 

  10. Hayes-Roth, F., Waterman, D.A. & Lenant, D.B., Building Expert Systems, Addison-Wesley: Reading, Mass., 1983.

    Google Scholar 

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© 1986 D. Reidel Publishing Company

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Yager, R.R. (1986). Decisions with Usual Values. In: Jones, A., Kaufmann, A., Zimmermann, HJ. (eds) Fuzzy Sets Theory and Applications. NATO ASI Series, vol 177. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-4682-8_8

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  • DOI: https://doi.org/10.1007/978-94-009-4682-8_8

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-8581-6

  • Online ISBN: 978-94-009-4682-8

  • eBook Packages: Springer Book Archive

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