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Uncertain Programming

Librairie Eyrolles - Paris 5e
Indisponible

Uncertain Programming

Uncertain Programming

Baoding Liu

250 pages, parution le 10/06/1999

Résumé

The use of computers in decision support has grown
tremendously over the past five years. This book focuses on
uncertainty in computer programming, a cutting-edge area
which draws on fuzzy logic, genetic algorithms, neural
networks, and empirical data to analyze complex situations
such as those arising in the stock market. The book offers a
much-needed, essential guide to the use of uncertainty in
decision support systems and operations research as well as
in computer science, mathematics, and engineering.

Table of contents


Introduction to Mathematical Programming.
Genetic Algorithms.
Stochastic Simulation and Fuzzy Simulation.
Expected Value Models.
Chance-Constrained Programming.
Applications of Chance-Constrained Programming.
Dependent-Chance Programming.
Modeling Stochastic Decision Systems.
Chance-Constrained Programming with Fuzzy Coefficients.
Dependent-Chance Programming in Fuzzy Environments.
Fuzzy Programming with Fuzzy Decisions.
Minimax Chance-Constrained Programming Models.
Outline of Uncertain Programming.
Appendix.
Bibliography.
List of Frequently Used Symbols.
Index.

Caractéristiques techniques

  PAPIER
Éditeur(s) Wiley
Auteur(s) Baoding Liu
Parution 10/06/1999
Nb. de pages 250
Format 16 x 24
Poids 500g
EAN13 9780471359944

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