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Discrete optimization with interval data: minmax regret and fuzzy approach

Practitioners of operations research are often faced with incomplete or uncertain data. Focusing on basic and traditional problems, this book considers solving combinatorial optimization problems with imprecise data modeled by intervals and fuzzy intervals.

Detalles Bibliográficos
Autor principal: Kasperski, Adam
Lenguaje:eng
Publicado: Springer 2008
Materias:
XX
Acceso en línea:http://cds.cern.ch/record/2758097
Descripción
Sumario:Practitioners of operations research are often faced with incomplete or uncertain data. Focusing on basic and traditional problems, this book considers solving combinatorial optimization problems with imprecise data modeled by intervals and fuzzy intervals.