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Titlebook: Decision Making with Multiple Objectives; Proceedings of the S Yacov Y. Haimes,Vira Chankong Conference proceedings 1985 Springer-Verlag Be

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Databases and Information SystemsThis paper reviews some important concepts, theories and techniques for multiple criteria optimization and decision making. The classes of MCDM problems considered highlight deterministic vs. stochastic and implicit constraint (or discrete alternatives) vs. explicit constraints problems.
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Partial Preference Information and First Order Differential Optimality: An IllustrationSuppose that objective vectors . are ranked by a value function v(y|θ) involving an unknown or partially known parameter θ. The set of values to which θ is restricted by prior information will be denoted ⊝. If y and z are objective vectors, say that y is dominated by z under ⊝, and write ..
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Optimization of the Share of the Pareto Set for Multicriteria ModelsThis paper describes an approach to analyzing how the balanced states of a multicriteria model depend on the values of exogenous parameters. It provides an algorithm consistent with the model criteria that chooses the optimal form of the Pareto set by changing these values.
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