Theory and Practice of Uncertain Programming
Real-life decisions are usually made in the state of uncertainty such as randomness and fuzziness. 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-date pres...
Main Author: | Liu, Baoding (Author) |
---|---|
Corporate Author: | SpringerLink (Online service) |
Format: | Electronic eBook |
Language: | English |
Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2009.
|
Series: | Studies in Fuzziness and Soft Computing,
239 |
Subjects: | |
Online Access: | Full Text via HEAL-Link |
Similar Items
-
Uncertainty Theory
by: Liu, Dr. Baoding
Published: (2007) -
Stochastic Linear Programming Models, Theory, and Computation /
by: Kall, Peter, et al.
Published: (2011) -
Stochastic Linear Programming Models, Theory, and Computation /
by: Kall, Peter, et al.
Published: (2005) -
Continuous-Time Markov Chains and Applications A Two-Time-Scale Approach /
by: Yin, G. George, et al.
Published: (2013) -
Applied Stochastic Processes
by: Lefebvre, Mario
Published: (2007)