Minmax regret approach and optimality evaluation in combinatorial optimization problems with interval and fuzzy weights

Adam Kasperski and Pawel Zielinski

European Journal of Operational Research, 2010, vol. 200, issue 3, 680-687

Abstract: This paper deals with a general combinatorial optimization problem in which closed intervals and fuzzy intervals model uncertain element weights. The notion of a deviation interval is introduced, which allows us to characterize the optimality and the robustness of solutions and elements. The problem of computing deviation intervals is addressed and some new complexity results in this field are provided. Possibility theory is then applied to generalize a deviation interval and a solution concept to fuzzy ones.

Keywords: Minmax; regret; Interval; Possibility; theory; Combinatorial; optimization (search for similar items in EconPapers)
Date: 2010
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:200:y:2010:i:3:p:680-687

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