Abstract
This chapter focuses on generalized uncertainty optimization. Specifically, we develop in more detail four types of generalized uncertainty optimization, two of historical significance, Tanaka, Asai, Ichihashi [142, 145] Buckley [8, 9], and two newer ways due to Jamison, Lodwick, Thipwiwatpotjana [57, 81, 83, 148]. These four types of generalized uncertainty and mini-max regret optimization capture the central themes of generalized uncertainty optimization.
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© 2017 Springer International Publishing AG
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Lodwick, W.A., Thipwiwatpotjana, P. (2017). Generalized Uncertainty Optimization. In: Flexible and Generalized Uncertainty Optimization. Studies in Computational Intelligence, vol 696. Springer, Cham. https://doi.org/10.1007/978-3-319-51107-8_6
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DOI: https://doi.org/10.1007/978-3-319-51107-8_6
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Publisher Name: Springer, Cham
Print ISBN: 978-3-319-51105-4
Online ISBN: 978-3-319-51107-8
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