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TThis book illustrates recent advances in applications of partial
order theory and Hasse diagram techniques to data analysis, mainly
in the socio-economic and environmental sciences. For years,
partial order theory has been considered a fundamental branch of
mathematics of only theoretical interest. In recent years, its
effectiveness as a tool for data analysis is increasingly being
realized and many applications of partially ordered sets to real
problems in statistics and applied sciences have appeared. Main
examples pertain to the analysis of complex and multidimensional
systems of ordinal data and to problems of multi-criteria decision
making, so relevant in social and environmental sciences. Partial
Order Concepts in Applied Sciences presents new theoretical and
methodological developments in partial order for data analysis,
together with a wide range of applications to different topics:
multidimensional poverty, economic development, inequality
measurement, ecology and pollution, and biology, to mention a few.
The book is of interest for applied mathematicians, statisticians,
social scientists, environmental scientists and all those aiming at
keeping pace with innovation in this interesting, growing and
promising research field.
TThis book illustrates recent advances in applications of partial
order theory and Hasse diagram techniques to data analysis, mainly
in the socio-economic and environmental sciences. For years,
partial order theory has been considered a fundamental branch of
mathematics of only theoretical interest. In recent years, its
effectiveness as a tool for data analysis is increasingly being
realized and many applications of partially ordered sets to real
problems in statistics and applied sciences have appeared. Main
examples pertain to the analysis of complex and multidimensional
systems of ordinal data and to problems of multi-criteria decision
making, so relevant in social and environmental sciences. Partial
Order Concepts in Applied Sciences presents new theoretical and
methodological developments in partial order for data analysis,
together with a wide range of applications to different topics:
multidimensional poverty, economic development, inequality
measurement, ecology and pollution, and biology, to mention a few.
The book is of interest for applied mathematicians, statisticians,
social scientists, environmental scientists and all those aiming at
keeping pace with innovation in this interesting, growing and
promising research field.
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