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An Introduction to Generalized Uncertainty Optimization

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Flexible and Generalized Uncertainty Optimization

Part of the book series: Studies in Computational Intelligence ((SCI,volume 696))

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Abstract

This introductory chapter looks at the wide array of results in the area of flexible and generalized uncertainty which includes fuzzy optimization, and possibility optimization.

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Author information

Authors and Affiliations

  1. Department of Mathematical and Statistical Sciences, University of Colorado Denver, Denver, CO, USA

    Weldon A. Lodwick

  2. Department of Science and Technology, Federal University of São Paulo, São Paulo, Brazil

    Luiz L. Salles-Neto

Authors
  1. Weldon A. Lodwick
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  2. Luiz L. Salles-Neto
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Correspondence to Weldon A. Lodwick .

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Lodwick, W.A., Salles-Neto, L.L. (2021). An Introduction to Generalized Uncertainty Optimization. In: Flexible and Generalized Uncertainty Optimization. Studies in Computational Intelligence, vol 696. Springer, Cham. https://doi.org/10.1007/978-3-030-61180-4_1

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