Constructing Scalar-Valued Objective Functions

Andranik Tangian

ISBN 10: 3540630619 / ISBN 13: 9783540630616

Editore: Springer, Springer Aug 1997, 1997

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This item is printed on demand - it takes 3-4 days longer - Neuware -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. 312 pp. Englisch.

Codice articolo 9783540630616

Dati bibliografici

• Titolo: Constructing Scalar-Valued Objective Functions
• Editore: Springer, Springer Aug 1997
• Data di pubblicazione: 1997
• Lingua: Inglese
• ISBN 10: 3540630619
• ISBN 13: 9783540630616
• Rilegatura: Taschenbuch
• Condizione: Neu
• Dimensioni: 235 L x 155 A x 17 P (millimetri) 235 millimetri di larghezza per 155 millimetri di altezza per 17 millimetri di profondità
• Peso: 476 grammi

Descrizione articolo

Riassunto

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.

Contenuti

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.