Discrete Optimization with Interval Data (eBook, PDF)
Adam Kasperski
eBook, PDF

Discrete Optimization with Interval Data (eBook, PDF)

Minmax Regret and Fuzzy Approach

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In operations research applications we are often faced with the problem of incomplete or uncertain data. This book considers solving combinatorial optimization problems with imprecise data modeled by intervals and fuzzy intervals. It focuses on some basic and traditional problems, such as minimum spanning tree, shortest path, minimum assignment, minimum cut and various sequencing problems. The interval based approach has become very popular in the recent decade. Decision makers are often interested in hedging against the risk of poor (worst case) system performance. This is particularly import...

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