Analysis of Socio-Economic Conditions
Insights from a Fuzzy Multi-dimensional Approach
1st Edition
Published on 26. September 2022
Book
Paperback/Softback
338 pages
978-0-367-51407-5 (ISBN)
Description
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.
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.
More details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Postgraduate
Illustrations
53 s/w Abbildungen, 1 s/w Photographie bzw. Rasterbild, 52 s/w Zeichnungen, 81 s/w Tabellen
81 Tables, black and white; 52 Line drawings, black and white; 1 Halftones, black and white; 53 Illustrations, black and white
Dimensions
Height: 234 mm
Width: 156 mm
Thickness: 20 mm
Weight
553 gr
ISBN-13
978-0-367-51407-5 (9780367514075)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Gianni Betti | Achille Lemmi
Analysis of Socio-Economic Conditions
Insights from a Fuzzy Multi-dimensional Approach
Book
03/2021
1st Edition
Routledge
€179.81
Shipment within 15-20 days
Gianni Betti | Achille Lemmi
Analysis of Socio-Economic Conditions
Insights from a Fuzzy Multi-dimensional Approach
E-Book
03/2021
1st Edition
Routledge
€59.49
Available for download
Gianni Betti | Achille Lemmi
Analysis of Socio-Economic Conditions
Insights from a Fuzzy Multi-dimensional Approach
E-Book
03/2021
1st Edition
Routledge
€59.49
Available for download
Persons
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.
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.
Content
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 Visegrad 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