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

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.

General

Imprint:	Routledge
Country of origin:	United Kingdom
Series:	Routledge Advances in Social Economics
Release date:	September 2022
Editors:	Gianni Betti • Achille Lemmi
Dimensions:	234 x 156 x 24mm (L x W x T)
Format:	Paperback
Pages:	338
ISBN-13:	978-0-367-51407-5
Categories:	Books > Reference & Interdisciplinary > Communication studies > Research methods Books > Social sciences > Sociology, social studies > Social theory Books > Business & Economics > Economics > Economic theory & philosophy Books > Business & Economics > Economics > Political economy Books > Social sciences > Sociology, social studies > Social issues > General Books > Business & Economics > Economics > Econometrics > General Promotions
LSN:	0-367-51407-9
Barcode:	9780367514075

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