Uncertain Programming - Rilegato

Liu, Baoding

Rilegato

ISBN 10: 0471359947 ISBN 13: 9780471359944

Casa editrice: Wiley-Interscience, 1999

Riassunto

This text contains courses that can be taught in business schools and operations research departments in addition to the usual computer science, mathematics and engineering courses. Uncertain programming is directly related to methods of constructing decision support systems, software capable of analyzing complex situations (such as in the stock market) and rendering a buy/sell decision based on incomplete information. It may use elements of fuzzy logic, genetic algorithms and neural networks in conjunction with empirical data to solve a given problem. It includes many worked exercises and references written at a level useful for business schools as well as mathematicians and computer scientists.

Su questo libro

L'autore

BAODING LIU, PhD, is Professor of Applied Mathematics at Tsinghua University, Beijing, China.

Dalla quarta di copertina

An up–to–date, authoritative, comprehensive look at optimization theory in uncertain environments Real–life management decisions, such as buy/sell decisions in the stock market, are almost always made in uncertain environments. Is it possible to make model decision problems to fit these circumstances? Once constructed, can these models be solved? In Uncertain Programming, Baoding Liu answers both of these questions in the affirmative and goes on to lay a solid foundation for optimization in generally uncertain environments. Uncertain Programming describes the basic concepts of mathematical programming, provides a genetic algorithm for optimization problems, and introduces the techniques of stochastic and fuzzy simulation. After examining some basic results of expected value models, the book moves on to explore chance–constrained programming with stochastic parameters and illustrate applications of chance–constrained programming models. Dr. Liu discusses dependent–chance programming in stochastic environments and extends both chance–constrained and dependent–chance programming from stochastic to fuzzy environments. He then constructs a theoretical framework for fuzzy programming with fuzzy rather than crisp decisions. This remarkable and revolutionary book:
∗ Lays a foundation for optimization theory in uncertain environments
∗ Provides a unifying principle for dealing with stochastic and fuzzy programming
∗ Incorporates the most recent developments in the field
∗ Emphasizes modeling ideas, evolutionary computation, and applications of uncertain programming
Uncertain Programming is a reliable, authoritative, and eye–opening guide for researchers and engineers in operations research, management science, business management, information and systems science, and computer science.

Dettagli dell?edizione

• Editore: Wiley-Interscience
• Data di pubblicazione: 1999
• Lingua: Inglese
• ISBN 10: 0471359947
• ISBN 13: 9780471359944
• Rilegatura: Copertina rigida
• Numero di pagine: 248
• Contatto del produttore: non disponibile