Analysis of Socio-Economic Conditions

Insights from a Fuzzy Multidimensional Approach
1. Auflage 2021
ISBN: 978-0-367-51406-8
Verlag: Taylor & Francis Ltd

Buch, Englisch, 362 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 830 g

Reihe: Routledge Advances in Social Economics

Showcasing fuzzy set theory, this book highlights the enormous potential of fuzzy logic in helping to analyse the complexity of a wide range of socio-economic patterns and behaviour.

The contributions to this volume explore the most up-to-date fuzzy-set methods for the measurement of socio-economic phenomena in a multidimensional and/or dynamic perspective. Thus far, fuzzy-set theory has primarily been utilised in the social sciences in the field of poverty measurement. These chapters examine the latest work in this area, while also exploring further applications including social exclusion, the labour market, educational mismatch, sustainability, quality of life and violence against women. The authors demonstrate that real-world situations are often characterised by imprecision, uncertainty and vagueness, which cannot be properly described by the classical set theory which uses a simple true–false binary logic. By contrast, fuzzy-set theory has been shown to be a powerful tool for describing the multidimensionality and complexity of social phenomena.

This book will be of significant interest to economists, statisticians and sociologists utilising quantitative methods to explore socio-economic phenomena.

Autoren/Hrsg.

Betti, Gianni

Lemmi, Achille

Fachgebiete

• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziale Gruppen/Soziale Themen Wohnen & Obdachlosigkeit
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Soziale Ungleichheit, Armut, Rassismus
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein

Inhaltsverzeichnis

1. A Book in Honour of Professor Vijay Verma 2. Evolution of the Fuzzy Set Approach to Multidimensional Poverty Measurement 3. Using Rippin’s Approach to Estimate Multi-Dimensional Poverty in Central America 4. Can a Neighbouring Region Influence Poverty? A Fuzzy and Longitudinal Approach 5. Multidimensional and Fuzzy Poverty at the Regional Level in Iran 6. China’s Multidimensional Poverty and Trade 7. JRR Variance Estimates for Longitudinal Fuzzy Measures of Multidimensional Poverty 8. Overview of the Quality of Life in Europe 9. A Fuzzy Approach to Financial Literacy Measurement 10. Multidimensional Material Deprivation in the Visegrád Group: Zero-Inflated Beta Regression Modelling 11. Measuring Educational Poverty in Italy: A Multidimensional and Fuzzy Approach 12. Fuzzy and Multi-Dimensional Measures of the Degree of Social Exclusion Risk: Evidence of Social Exclusion in the Population Aged 50+ in Poland 13. Socioeconomic Health Inequality Indices: A Fuzzy Approach Applied to European Countries 14. The Fuzzy Perspective on Violence against Women: Challenges and Advancements 15. System Safety Analysis of Industrial Processes Using Fuzzy Methodology 16. A Fuzzy Approach to the Measurement of Employment and Unemployment 17. The Relationship between Employment and Poverty Using Fuzzy Regression 18. Geo-Marketing, a New Approach Using Fuzzy Clustering 19. Satisfaction in Higher Education: A Multidimensional and Fuzzy Approach 20. A Multidimensional Clustering on Fuzzy Metrics to Classify CPG Pricing and Price Promotion Strategies: The Case of Pasta in Italy

Über Autor(innen)

Gianni Betti is Full Professor in Statistics and Economics at the Department of Economics and Statistics, University of Siena, Italy. He has worked on several projects for the World Bank and European Commission and has been closely involved with the development of the EU Statistics on Income and Living Conditions.

Achille Lemmi has been Full Professor in Statistics and Economics at the University of Siena, Italy. Presently he is Honorary Fellow of the Tuscan Universities Research Centre on Advanced Statistics for Sustainable and Equitable Development (TURC-ASESD) 'Camilo Dagum' at the University of Pisa, Italy.