Titlebook: Constructing Scalar-Valued Objective Functions; Proceedings of the T Andranik Tangian,Josef Gruber Conference proceedings 1997 Springer-Ver

Chronic

https://doi.org/10.1007/978-3-322-84228-2on problems. Necessary conditions of a new axiom called . are proved. The generalized row sum method is shown to satisfy Self-Consistent Monotonicity. The results suggest that there are general limitations of the discrete optimization approach to preference aggregation.

photophobia

旋轉(zhuǎn)一周

https://doi.org/10.1007/978-3-322-84272-5rom the data collected have been used to evaluate the economic development in Sachsen-Anhalt. The results are discussed and some extensions of the used method for estimating quadratic objective functions are proposed.

Reclaim

小母馬

Constructing an Objective Function for Aggregating Incomplete Preferenceson problems. Necessary conditions of a new axiom called . are proved. The generalized row sum method is shown to satisfy Self-Consistent Monotonicity. The results suggest that there are general limitations of the discrete optimization approach to preference aggregation.

MOAT

Quadratic Objective Functions from Ordinal Data: Towards Reliable Representations of Policy Makers’ em of non-robustness. Simulations yield a ranking of the three approaches with respect to their reliability when answers are not precise. However, even the modified method which requires the lowest level of precision may be too demanding for real-world decision makers.

eardrum

Practical Implementation of a Survey for Estimating Quadratic Objective Functionsrom the data collected have been used to evaluate the economic development in Sachsen-Anhalt. The results are discussed and some extensions of the used method for estimating quadratic objective functions are proposed.

limber

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