Michael Smithson, Jay Verkuilen

Broschiertes Buch

Fuzzy Set Theory

Applications in the Social Sciences

Beschreibung

Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, 'fuzzy.' This book presents an introduction to fuzzy set theory, focusing on its applicability to the social sciences. It provides a guide for researchers wishing to combine fuzzy set theory with standard statistical techniques and model-testing.

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.

Produktdetails

• Quantitative Applications in the Social Sciences
• Verlag: SAGE Publications Inc
• Seitenzahl: 110
• Erscheinungstermin: 17. Februar 2006
• Englisch
• Abmessung: 216mm x 140mm x 7mm
• Gewicht: 136g
• ISBN-13: 9780761929864
• ISBN-10: 076192986X
• Artikelnr.: 21812261