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Fuzzy Set Theory
ISBN/GTIN

Fuzzy Set Theory

Applications in the Social Sciences
BuchKartoniert, Paperback
CHF56.90

Beschreibung

Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications in the Social Sciences provides a systematic, yet practical guide for researchers wishing to combine fuzzy set theory with standard statistical techniques and model-testing.
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Details

ISBN/GTIN978-0-7619-2986-4
ProduktartBuch
EinbandKartoniert, Paperback
Erscheinungsdatum17.02.2006
Seiten110 Seiten
SpracheEnglisch
MasseBreite 140 mm, Höhe 216 mm, Dicke 6 mm
Gewicht150 g
Artikel-Nr.2976431
KatalogBuchzentrum
Datenquelle-Nr.1919728
Weitere Details

Autor

Michael Smithson is a Professor in the Research School of Psychology at The Australian National University in Canberra, and received his PhD from the University of Oregon. He is the author of Confidence Intervals (2003), Statistics with Confidence (2000), Ignorance and Uncertainty (1989), and Fuzzy Set Analysis for the Behavioral and Social Sciences (1987), co-author of Fuzzy Set Theory: Applications in the Social Sciences (2006) and Generalized Linear Models for Categorical and Limited Dependent Variables (2014), and co-editor of Uncertainty and Risk: Multidisciplinary Perspectives (2008) and Resolving Social Dilemmas: Dynamic, Structural, and Intergroup Aspects (1999). His other publications include more than 170 refereed journal articles and book chapters. His primary research interests are in judgment and decision making under ignorance and uncertainty, statistical methods for the social sciences, and applications of fuzzy set theory to the social sciences.