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140122 ||| eng |
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|a 9783642487736
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| 100 |
1 |
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|a Tangian, Andranik
|e [editor]
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| 245 |
0 |
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|a Constructing Scalar-Valued Objective Functions
|h Elektronische Ressource
|b Proceedings of the Third International Conference on Econometric Decision Models: Constructing Scalar-Valued Objective Functions University of Hagen Held in Katholische Akademie Schwerte September 5–8, 1995
|c edited by Andranik Tangian, Josef Gruber
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| 250 |
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|a 1st ed. 1997
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| 260 |
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|a Berlin, Heidelberg
|b Springer Berlin Heidelberg
|c 1997, 1997
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| 300 |
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|a VIII, 298 p
|b online resource
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| 505 |
0 |
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|a I Opening addresses -- to the Third International Conference on Econometric Decision Models: Constructing Scalar-Valued Objective Functions -- Methodological Remarks on Objective Functions -- II Keynote address -- On the Preferences Characterization of Additively Separable Utility -- III Axiomatic foundations -- An Axiomatic Justification of Scalar Optimization -- Rational Choice Under Convex Conditions -- Additive Utility Without Solvability on All Components -- IV Collective objective functions -- Intransitive Preference Relations and Preference Differences -- Constructing an Objective Function for Aggregating Incomplete Preferences -- Lexicographical Maxmin Core Solutions for Cooperative Games -- Game Theoretic Axioms for Utilities with Random Choices -- V Practical construction of objective functions -- A Bounding Procedure for Expected Multiattribute Utility -- Constructing Quadratic and Polynomial Objective Functions -- Quadratic Objective Functions from Ordinal Data: Towards Reliable Representations of Policy Makers’ Preferences -- Practical Implementation of a Survey for Estimating Quadratic Objective Functions -- Towards Constructing an Objective Function for Austrian Fiscal Policy-Making: An Optimum Control Approach -- Game Theoretic Model for Constructing Linear Objective Functions -- VI Welfare functions and consumer demand -- Integrability Conditions, Income Distribution, and Social Structures -- ‘INDEX’—A Tool for Calculating Indices of Aggregated Consumer Demand Based on a Nonparametric Method for Analysis and Forecasts
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| 653 |
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|a Operations research
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| 653 |
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|a Quantitative Economics
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| 653 |
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|a Econometrics
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| 653 |
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|a Operations Research and Decision Theory
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| 700 |
1 |
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|a Gruber, Josef
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b SBA
|a Springer Book Archives -2004
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| 490 |
0 |
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|a Lecture Notes in Economics and Mathematical Systems
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| 028 |
5 |
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|a 10.1007/978-3-642-48773-6
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| 856 |
4 |
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|u https://doi.org/10.1007/978-3-642-48773-6?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 330.9
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| 520 |
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|a For several decades, scholars have developed methods for solving optimization problems which emerge in economics, econometrics, operations research, and other disciplines. A considerable effort has been made to construct equations from which constraints can be derived, but surprisingly little has been done to construct the other part of optimization models: the scalar-valued objective function, the constrained maximum or minimum of which gives the optimal solution. The given volume is intended to attract attention to the problem, to present the major achievements in the field and to stimulate further research and teaching
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