Theory and Practice of Uncertain Programming

✍ Scribed by Professor Baoding Liu (auth.)

• Publisher: Physica-Verlag HD
• Year: 2002
• Tongue: English
• Leaves: 189
• Series: Studies in Fuzziness and Soft Computing 102
• Edition: 1
• Category: Library

✦ Synopsis

Книга Theory and Practice of Uncertain Programming Theory and Practice of Uncertain ProgrammingКниги English литература Автор: Boading Liu Год издания: 2003 Формат: pdf Издат.:Physica-Verlag Heidelberg Страниц: 181 Размер: 1,1 ISBN: 3790814903 Язык: Английский0 (голосов: 0) Оценка: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-date presentation of uncertain programming theory. It includes numerous modeling ideas, hybrid intelligent algorithms, and various applications in transportation problem, inventory system, facility location & allocation, capital budgeting, topological optimization, vehicle routing problem, redundancy optimization, and scheduling. Researchers, practitioners and students in operations research, management science, information science, system science, and engineering will find this work a stimulating and useful reference.

✦ Table of Contents

Front Matter....Pages i-xiv
Front Matter....Pages 1-1
Mathematical Programming....Pages 3-16
Genetic Algorithms....Pages 17-27
Neural Networks....Pages 29-36
Front Matter....Pages 37-37
Random Variables....Pages 39-58
Stochastic Expected Value Models....Pages 59-75
Stochastic Chance-Constrained Programming....Pages 77-113
Stochastic Dependent-Chance Programming....Pages 115-143
Front Matter....Pages 145-145
Fuzzy Variables....Pages 147-165
Fuzzy Expected Value Models....Pages 167-176
Fuzzy Chance-Constrained Programming....Pages 177-196
Fuzzy Dependent-Chance Programming....Pages 197-208
Fuzzy Programming with Fuzzy Decisions....Pages 209-222
Front Matter....Pages 223-223
Rough Variables....Pages 225-236
Rough Programming....Pages 237-248
Front Matter....Pages 249-249
Fuzzy Random Variables....Pages 251-266
Fuzzy Random Expected Value Models....Pages 267-271
Fuzzy Random Chance-Constrained Programming....Pages 273-282
Fuzzy Random Dependent-Chance Programming....Pages 283-291
Front Matter....Pages 293-293
Random Fuzzy Variables....Pages 295-308
Random Fuzzy Expected Value Models....Pages 309-313
Front Matter....Pages 293-293
Random Fuzzy Chance-Constrained Programming....Pages 315-325
Random Fuzzy Dependent-Chance Programming....Pages 327-334
Front Matter....Pages 335-335
Multifold Uncertainty....Pages 337-347
Uncertain Programming....Pages 349-363
Back Matter....Pages 365-388

✦ Subjects

Artificial Intelligence (incl. Robotics); Programming Techniques; Simulation and Modeling; Operation Research/Decision Theory