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Analysis of Socio-Economic Conditions

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Beta Regression Modelling
Category=JBF
Category=KCA
Category=KCP
Classical set theory
Conventional Poverty Measures
Cumulated Distribution Function
Dg Regional Policy
educational inequality assessment
Educational mismatch
eq_bestseller
eq_business-finance-law
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
Financial Literacy Measurement
Financial Literacy Score
Fuzzy Approach
Fuzzy Fault Tree
Fuzzy logic
fuzzy logic in socio-economic research
Fuzzy Measure
Fuzzy Set
fuzzy set analysis
Fuzzy Set Approach
Fuzzy Set Methodology
Fuzzy set theory
Human Development Index
Labour market
labour market modelling
Linear Fuzzy Regression Model
Membership Function
Mimic Model
MPI
Multi-dimensional perspective
Multi-dimensional Poverty
multidimensional poverty metrics
Negative Relationship
Non-monetary Poverty
Poverty
Poverty measurement
Price Promotion Strategies
Quality of life
Small Area Estimation
Small Area Estimation Techniques
Social exclusion
social exclusion measurement
Social Exclusion Risk
Social phenomena
Socio-economic behavior
Socio-economic behaviour
Sustainability
sustainability indicators
V4 Country

Product details

  • ISBN 9780367514075
  • Weight: 453g
  • Dimensions: 156 x 234mm
  • Publication Date: 26 Sep 2022
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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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.
About

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.