Quadratic objective functions from ordinal data: towards more reliable representations of policymakers' preferences

  • An approach recently developed by Tanguiane for constructing quadratic objective functions from a minimal set of answers to simple questions about indifference is shown to suffer from a number of deficiencies in practical work. Most importantly, objective functions turn out to be highly non-robust with respect to small errors in the decision maker's answers. For definite objective functions an alternative method is proposed which avoids these problems. In addition a modification is suggested for the case of an indefinite objective function which will at least increase the robustness of the function constructed.

Download full text files

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Peter WelzelGND
URN:urn:nbn:de:bvb:384-opus4-210405
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/21040
Series (Serial Number):Volkswirtschaftliche Diskussionsreihe (136)
Publisher:Volkswirtschaftliches Institut, Universität Augsburg
Place of publication:Augsburg
Type:Working Paper
Language:English
Year of first Publication:1995
Publishing Institution:Universität Augsburg
Release Date:2017/07/21
Pagenumber:22
Institutes:Wirtschaftswissenschaftliche Fakultät
Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre
Wirtschaftswissenschaftliche Fakultät / Institut für Volkswirtschaftslehre / Lehrstuhl für Ökonomie der Informationsgesellschaft
Dewey Decimal Classification:3 Sozialwissenschaften / 33 Wirtschaft / 330 Wirtschaft
Journals:Volkswirtschaftliche Diskussionsreihe
Licence (German):Deutsches Urheberrecht