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Theory and Practice of Uncertain Programming /

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Real-life decisions are usually made in the state of uncertainty (randomness, fuzziness, roughness, etc.). How do we model optimization problems in uncertain environments? How do we solve these models? In order to answer these questions, this book provides a self-contained, comprehensive and up-to-d...

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Bibliographic Details
Main Author: Liu, Baoding
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: Heidelberg : Physica-Verlag HD : Imprint : Physica, 2002.
Series:Studies in fuzziness and soft computing ; 102.
Subjects:
Computer science.
Artificial intelligence.
Computer simulation.
Operations research.
Electronic books.
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • Fundamentals: Mathematical Programming; Genetic Algorithms; Neural Networks
  • Stochastic Programming: Random Variables; Stochastic Expected Value Models; Stochastic Chance-Constrained Programming; Stochastic Dependent-Chance Programming
  • Fuzzy Programming: Fuzzy Variables; Fuzzy Expected Value Models; Fuzzy Chance-Constrained Programming; Fuzzy Dependent-Chance Programming; Fuzzy Programming with Fuzzy Decisions
  • Rough Programming: Rough Variables; Rough Programming
  • Fuzzy Random Programming: Fuzzy Random Variables; Fuzzy Random Expected Value Models; Fuzzy Random Chance-Constrained Programming; Fuzzy Random Dependent-Chance Programming
  • Random Fuzzy Programming: Random Fuzzy Variables; Random Fuzzy Expected Value Models; Random Fuzzy Chance-Constrained Programming; Random Fuzzy Dependent-Chance Programming
  • Generel Principle: Multifold Uncertainty; Uncertain Programming.