Analysis of Socio-Economic Conditions : Insights from a Fuzzy Multi-dimensional Approach book cover
1st Edition

Analysis of Socio-Economic Conditions
Insights from a Fuzzy Multi-dimensional Approach

ISBN 9780367514068
Published March 31, 2021 by Routledge
362 Pages 53 B/W Illustrations

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Book 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.

Table of Contents

1. A Book in Honour of Professor Vijay Verma

Gianni Betti and Achille Lemmi

2. Evolution of the Fuzzy-Set Approach to Multidimensional Poverty Measurement

Bruno Cheli, Achille Lemmi, Nicoletta Pannuzi and Andrea Regoli

3. Using Rippin’s Approach to Estimate Multidimensional Poverty in Central America

José Espinoza-Delgado and Jacques Silber

4. Can a Neighbouring Region Influence Poverty? A Fuzzy and Longitudinal Approach

Gianni Betti, Federico Crescenzi and Francesca Gagliardi

5. Multidimensional and Fuzzy Poverty at the Regional Level in Iran

Hossein Khoshbakht, Francesca Gagliardi and Ali Asadi

6. China’s Multidimensional Poverty and Trade

Elisabetta Croci Angelini and Yang Liu

7. JRR Variance Estimates for Longitudinal Fuzzy Measures of Multidimensional Poverty

Gianni Betti, Francesca Gagliardi and Vijay Verma

8. Overview of the Quality of Life in Europe

Antonella D’Agostino, Giulio Ghellini, María Navarro and Angeles Sánchez

9. A Fuzzy Approach to Financial Literacy Measurement

Albert Hizgilov and Jacques Silber

10. Multidimensional Material Deprivation in the Visegrád Group: Zero-Inflated Beta Regression Modelling

Hanna Dudek and Wiesław Szczesny

11. Measuring Educational Poverty in Italy: A Multidimensional and Fuzzy Approach

Gaia Bertarelli, Antonella D’Agostino, Caterina Giusti and Monica Pratesi

12. Fuzzy and Multidimensional Measures of the Degree of Social Exclusion Risk: Evidence of Social Exclusion in the Population Aged 50+ in Poland

Tomasz Panek and Jan Zwierzchowski

13. Socio-economic Health Inequality Indices: A Fuzzy Approach Applied to European Countries

Stéphane Mussard and María Noel Pi Alperin

14. The Fuzzy Perspective on Violence against Women: Challenges and Advancements

Francesca Bettio, Gianni Betti and Elisa Ticci

15. System Safety Analysis of Industrial Processes Using Fuzzy Methodology

Tony Venditti, Nguyen Duy Phuong Tran and Anh Dung Ngo

16. A Fuzzy Approach to the Measurement of Employment and Unemployment

Bruno Cheli, Alessandra Coli and Andrea Regoli

17. The Relationship between Employment and Poverty Using Fuzzy Regression

Besma Belhadj and Firas Kaabi

18. Geo-Marketing, a New Approach Using Fuzzy Clustering

Lorenzo Mori and Duccio Stefano Gazzei

19. Satisfaction in Higher Education: A Multidimensional and Fuzzy Approach

Francesca Gagliardi, Laura Neri, Edmira Shahu and Aurora Hoxha

20. A Multidimensional Clustering on Fuzzy Metrics to Classify CPG Pricing and Price Promotion Strategies: The Case of Pasta in Italy

Luigi Palumbo, Tiziana Laureti and Ilaria Benedetti


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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.