Browsing by Subject "imprecise optimization"

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    A critical review of the approaches to optimization problems under uncertainty
    (2001) Gürtuna, Filiz
    In this study, the issue of uncertainty in optimization problems is studied. First of all, the meaning and sources of uncertainty are explained and then possible ways of its representation are analyzed. About the modelling process, different approaches as sensitivity analysis, parametric programming, robust optimization, stochastic programming, fuzzy programming, multiobjective programming and imprecise optimization are presented with advantages and disadvantages from different perspectives. Some extensions of the concepts of imprecise optimization are also presented.
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    Multifacility location with imprecise data
    (1994) Demir, Muhittin Hakan
    Locational decisions often suffer from lack of precise data. In this study, we consider a class of multifacility location problems where the demands of existing and new facilities are unknown, with a known set of possible realizations. The set may be finite or infinite. In the latter case, the data is assumed to be of interval type. We use various criteria to evaluate candidate solutions to these problems and build a framework for decision making.