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Ranking and Prioritization for Multi-indicator Systems

Introduction to Partial Order Applications

  • Book
  • © 2011

Overview

  • Discusses main topics of ranking applying partial order theory
  • Is about how far simple order methods can be useful for the ordinal analysis of data matrices
  • The reader will learn how to apply unclear methods in partial order analysis
  • Includes supplementary material: sn.pub/extras

Part of the book series: Environmental and Ecological Statistics (ENES)

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Table of contents (18 chapters)

About this book

This book provides axioms of partial order and some basic material, for example consequences of “criss-crossing” of data profiles, the role of aggregations of the indicators and the powerful method of formal concept analysis. The interested reader will learn how to apply fuzzy methods in partial order analysis and what ‘antagonistic indicator’ means.

Reviews

From the reviews:

“The main aim of the book is to introduce the modern tools and methodologies of the so-called partial order ranking for prioritization of objects by many different characteristics. … is addressed to graduate students and specialists in environmental, ecological, and other applied sciences requiring ordering and prioritization of many objects by numerous characteristics. … these new methods of partial order analysis can be insightful and useful, and extend the regular tool-kit of statisticians applying more conventional methods of PCA, factor analysis, data clustering, and segmentation.” (Stan Lipovetsky, Technometrics, Vol. 54 (2), May, 2012)

Authors and Affiliations

  • Department of Ecohydrology, Leibniz Institute of Freshwater Ecology, Schöneiche, Germany

    Rainer Brüggemann

  • Department of Statistics, Pennsylvania State University, University Park, USA

    Ganapati P. Patil

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