Uncertainty and method choice in discrete multiobjective programming problems

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Discrete multiobjective programming problems are examined under uncertain knowledge of the payoff values. Besides mean value analysis, two types of distributions are considered, triangular and uniform probability density functions (PDFs). A problem in forestry management illustrates the methodology. The numerical results are analyzed and compared with a set of distance based methods.

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论文评审过程:Available online 7 April 2000.

论文官网地址:https://doi.org/10.1016/0096-3003(94)00145-T