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From “and” to “or”

  • Logical Methods
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 682))

Abstract

In this paper we consider the issue of aggregation of predicates. This issue appears especially in connection with fuzzy predicates. We give a probabilistic interpretation of an aggregation in terms of the possibility of a statement containing these predicates, and using “and”/“or” operators.

On leave from Rhône-Poulenc Industrialisation, Courbevoie, FRANCE.

On leave from the Computer Science Department, University of Cincinnati, USA. All correspondence about the paper should be directed to this author.

This work was partially supported by NSF Grant INT-08632.

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References and related bibliography

  1. D. Dubois and H. Prade, “A Review of Fuzzy Sets Aggregation Connectives”, Information Sciences, (1985).

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  2. G. J. Klir and T. A. Folger, “Fuzzy sets, uncertainty and information”, Prentice Hall (1988).

    Google Scholar 

  3. A. Ralescu, “A note on rule interpretation in expert systems”, Information Sciences 38 (1986).

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  4. R. R. Yager, “On ordered weighted averaging aggregation operators in multicriteria decision making”, IEEE Transactions on Systems, Man and Cybernetics 18 (1988) 183–190.

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  5. L. A. Zadeh, “Fuzzy Sets as a basis for a theory of possibility”, Fuzzy Sets and Systems 1 (1978) 3–28.

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Bernadette Bouchon-Meunier Llorenç Valverde Ronald R. Yager

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© 1993 Springer-Verlag

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Arnould, T., Ralescu, A. (1993). From “and” to “or”. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_49

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  • DOI: https://doi.org/10.1007/3-540-56735-6_49

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56735-6

  • Online ISBN: 978-3-540-47643-6

  • eBook Packages: Springer Book Archive

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