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Part of the book series: Advances in Soft Computing ((AINSC,volume 13))

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Abstract

In fuzzy optimization we wish to maximize, or minimize, a fuzzy set (which is usually the value of a fuzzy function) subject to some fuzzy constraints. However, we can not maximize, or minimize, a fuzzy set, so we do what is commonly done in the area of finance where they wish to maximize (minimize) the value of a random variable whose values are restricted by a probability density function.

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© 2002 Springer-Verlag Berlin Heidelberg

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Buckley, J.J., Eslami, E. (2002). Fuzzy Optimization. In: An Introduction to Fuzzy Logic and Fuzzy Sets. Advances in Soft Computing, vol 13. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1799-7_16

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  • DOI: https://doi.org/10.1007/978-3-7908-1799-7_16

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1447-7

  • Online ISBN: 978-3-7908-1799-7

  • eBook Packages: Springer Book Archive

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