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Why Tensors?

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Constraint Programming and Decision Making

Part of the book series: Studies in Computational Intelligence ((SCI,volume 539))

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Abstract

We show that in many application areas including soft constraints reasonable requirements of scale-invariance lead to polynomial (tensor-based) formulas for combining degrees (of certainty, of preference, etc.)

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References

  1. Luce, R.D., Raiffa, R.: Games and decisions: introduction and critical survey. Dover, New York (1989)

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  2. Nguyen, H.T., Kosheleva, O., Kreinovich, V.: Decision Making Beyond Arrow’s Impossibility Theorem. International Journal of Intelligent Systems 24(1), 27–47 (2009)

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  3. Nguyen, H.T., Walker, E.A.: A First Course in Fuzzy Logic. Chapman & Hall/CRC Press, Boca Raton (2006)

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Authors and Affiliations

  1. University of Texas at El Paso, 500 W. University, El Paso, TX, 79968, USA

    Olga Kosheleva, Martine Ceberio & Vladik Kreinovich

Authors
  1. Olga Kosheleva
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  2. Martine Ceberio
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  3. Vladik Kreinovich
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Corresponding author

Correspondence to Olga Kosheleva .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Martine Ceberio

  2. Department of Computer Science, University of Texas at El Paso, El Paso, Texas, USA

    Vladik Kreinovich

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© 2014 Springer International Publishing Switzerland

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Kosheleva, O., Ceberio, M., Kreinovich, V. (2014). Why Tensors?. In: Ceberio, M., Kreinovich, V. (eds) Constraint Programming and Decision Making. Studies in Computational Intelligence, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-04280-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-04280-0_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-04279-4

  • Online ISBN: 978-3-319-04280-0

  • eBook Packages: EngineeringEngineering (R0)

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