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Theory and Practice of Uncertain Programming
I Fundamentals.- 1 Mathematical Programming.- 2 Genetic Algorithms.- 3 Neural Networks.- II Stochastic Programming.- 4 Random Variables.- 5 Stochastic Expected Value Models.- 6 Stochastic Chance-Constrained Programming.- 7 Stochastic Dependent-Chance Programming.- III Fuzzy Programming.- 8 Fuzzy Variables.- 9 Fuzzy Expected Value Models.- 10 Fuzzy Chance-Constrained Programming.- 11 Fuzzy Dependent-Chance Programming.- 12 Fuzzy Programming with Fuzzy Decisions.- IV Rough Programming.- 13 Rough Variables.- 14 Rough Programming.- V Fuzzy Random Programming.- 15 Fuzzy Random Variables.- 16 Fuzzy Random Expected Value Models.- 17 Fuzzy Random Chance-Constrained Programming.- 18 Fuzzy Random Dependent-Chance Programming.- VI Random Fuzzy Programming.- 19 Random Fuzzy Variables.- 20 Random Fuzzy Expected Value Models.- 21 Random Fuzzy Chance-Constrained Programming.- 22 Random Fuzzy Dependent-Chance Programming.- VII General Principle.- 23 Multifold Uncertainty.- 24 Uncertain Programming.- List of Acronyms.- List of Frequently Used Symbols.
404 pages, Paperback
First published October 1, 2007
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