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Approximate Z-number Evaluation Based on Categorical Sets of Probability Distributions

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Recent Developments and New Directions in Soft Computing

Part of the book series: Studies in Fuzziness and Soft Computing ((STUDFUZZ,volume 317))

Abstract

In this chapter, we present a method for approximate evaluation of Zadeh’s Z-numbers using category sets of probability distributions corresponding to similar certainty measures.

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References

  1. Zadeh, L.A.: A note on Z-numbers. Inf. Sci. 181, 2923–2932 (2011)

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  2. Yager, R.: On Z-valuations using Zadeh’s Z-numbers. Int. J. Intell. Syst. 27(3), 259–278 (2012)

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Acknowledgment

We are very grateful to Prof. Lotfi A. Zadeh for his mentorship and encouragement and to Ms. Ixel Chavez for all her help.

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Authors and Affiliations

  1. Z Advanced Computing, 11204 Albermyrtle Road, Potomac, MD, 20854, USA

    Saied Tadayon & Bijan Tadayon

Authors
  1. Saied Tadayon
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  2. Bijan Tadayon
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Corresponding author

Correspondence to Bijan Tadayon .

Editor information

Editors and Affiliations

  1. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  2. Minister of Communications and Information Technologies of the Republic of Azerbaijan, Baku, Azerbaijan

    Ali M. Abbasov

  3. Iona College, Machine Intelligence Institute, New Rochelle, New York, USA

    Ronald R. Yager

  4. Department of Information Technology and Programming, Azerbaijan Technical University, Baku, Azerbaijan

    Shahnaz N. Shahbazova

  5. Electrical and Computer Engineering, University of Alberta, Edmonton, Alberta, Canada

    Marek Z. Reformat

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© 2014 Springer International Publishing Switzerland

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Tadayon, S., Tadayon, B. (2014). Approximate Z-number Evaluation Based on Categorical Sets of Probability Distributions. In: Zadeh, L., Abbasov, A., Yager, R., Shahbazova, S., Reformat, M. (eds) Recent Developments and New Directions in Soft Computing. Studies in Fuzziness and Soft Computing, vol 317. Springer, Cham. https://doi.org/10.1007/978-3-319-06323-2_8

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  • DOI: https://doi.org/10.1007/978-3-319-06323-2_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-06322-5

  • Online ISBN: 978-3-319-06323-2

  • eBook Packages: EngineeringEngineering (R0)

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