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Partial order concepts in applied sc...

Bruggemann, Rainer.

Partial order concepts in applied sciences

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Partial order concepts in applied sciencesedited by Marco Fattore, Rainer Bruggemann.
其他作者:	Fattore, Marco.
出版者:	Cham :Springer International Publishing :2017.
面頁冊數:	xi, 307 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Partially ordered sets.
電子資源:	http://dx.doi.org/10.1007/978-3-319-45421-4
ISBN:	9783319454214$q(electronic bk.)

Partial order concepts in applied sciences
Partial order concepts in applied sciences[electronic resource] /edited by Marco Fattore, Rainer Bruggemann. - Cham :Springer International Publishing :2017. - xi, 307 p. :ill., digital ;24 cm.

This 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.

ISBN: 9783319454214$q(electronic bk.)

Standard No.: 10.1007/978-3-319-45421-4doiSubjects--Topical Terms:

199062
Partially ordered sets.

LC Class. No.: QA171.485

Dewey Class. No.: 511.332

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520 $a This 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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