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Flexible and Generalized Uncertainty Optimization Theory and Methods /

This book presents the theory and methods of flexible and generalized uncertainty optimization. Particularly, it describes the theory of generalized uncertainty in the context of optimization modeling. The book starts with an overview of flexible and generalized uncertainty optimization. It covers u...

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Main Authors: Lodwick, Weldon A. (Author, http://id.loc.gov/vocabulary/relators/aut), Thipwiwatpotjana, Phantipa. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2017.
Edition:1st ed. 2017.
Series:Studies in Computational Intelligence, 696
Subjects:
Computational intelligence.
Operations research.
Management science.
Probabilities.
Computational Intelligence.
Operations Research, Management Science.
Probability Theory and Stochastic Processes.
Online Access:https://doi.org/10.1007/978-3-319-51107-8
Table of Contents:
  • 1 An Introduction to Generalized Uncertainty Optimization
  • 2 Generalized Uncertainty Theory: A Language for Information Deficiency
  • 3 The Construction of Flexible and Generalized Uncertainty Optimization Input Data
  • 4 An Overview of Flexible and Generalized Uncertainty Optimization
  • 5 Flexible Optimization
  • 6 Generalized Uncertainty Optimization
  • References. .

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