Fuzzy Choice Functions
A Revealed Preference Approach
(Sprache: Englisch)
This book extends the theory of revealed preference to fuzzy choice functions, providing applications to multicriteria decision making problems. The main topics of revealed preference theory are treated in the framework of fuzzy choice functions. New...
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Klappentext zu „Fuzzy Choice Functions “
This book extends the theory of revealed preference to fuzzy choice functions, providing applications to multicriteria decision making problems. The main topics of revealed preference theory are treated in the framework of fuzzy choice functions. New topics, such as the degree of dominance and similarity of vague choices, are developed. The results are applied to economic problems where partial information and human subjectivity involve vague choices and vague preferences.
Inhaltsverzeichnis zu „Fuzzy Choice Functions “
- Preliminaries- Classical Revealed Preference Theory
- Fuzzy Preference Relations
- Fuzzy Choice Functions
- Fuzzy Revealed Preference and Consistency Conditions
- General Results
- Degree of Dominance
- Similarity and Rationality Indicators for Fuzzy Choice Functions
- Applications
Bibliographische Angaben
- Autor: Irina Georgescu
- 2007, 292 Seiten, Maße: 16 x 24,1 cm, Gebunden, Englisch
- Verlag: Springer Berlin Heidelberg
- ISBN-10: 3540689974
- ISBN-13: 9783540689973
- Erscheinungsdatum: 26.04.2007
Sprache:
Englisch
Rezension zu „Fuzzy Choice Functions “
From the reviews:"This book, based on the author's PhD thesis, is an excellent extension of the revealed preference theory to the fuzzy case where preference and choice are fuzzy. ... is basically a mathematic text, it is highly recommended to choice theorists and to specialists in fuzzy mathematics. Choice theorists will discover the interest of using fuzziness to deal with a more realist universe and mathematicians working on fuzziness will see how fuzzy mathematics can be used in a highly theoretical part of social science." (Maurice Salles, Zentralblatt MATH, Vol. 1130 (8), 2008)
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