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Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable

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Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 77))

Abstract

We introduce the notion of expected pair-wise comparison of a fuzzy random variable. It includes some well-known parameters such as the quadratic entropy of a random variable, the upper probability induced by a random set or the scalar variance of a fuzzy random variable as particular cases. The special case of expected dissimilitude is highlighted and shown as a useful alternative to the scalar variance when the images of the fuzzy random variable are not necessarily convex, nor in a numerical scale.

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Couso, I., Garrido, L., Montes, S., Sánchez, L. (2010). Expected Pair-Wise Comparison of the Outcomes of a Fuzzy Random Variable. In: Borgelt, C., et al. Combining Soft Computing and Statistical Methods in Data Analysis. Advances in Intelligent and Soft Computing, vol 77. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14746-3_14

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  • DOI: https://doi.org/10.1007/978-3-642-14746-3_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-14745-6

  • Online ISBN: 978-3-642-14746-3

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