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Partial Order Concepts in Applied Sciences

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Cover of 'Partial Order Concepts in Applied Sciences'

Table of Contents

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    Book Overview
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    Chapter 1 Endowing Posets with Flesh: If, Why and How?
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    Chapter 2 Incomparability/Inequality Measures and Clustering
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    Chapter 3 Incomparable: What Now, IV. Incomparabilities: A Modeling Challenge
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    Chapter 4 Partial Ordering and Metrology Analyzing Analytical Performance
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    Chapter 5 Functionals and Synthetic Indicators Over Finite Posets
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    Chapter 6 Evaluation, Considered as Problem Orientable Mathematics Over Lattices
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    Chapter 7 A Combined Lexicographic Average Rank Approach for Evaluating Uncertain Multi-indicator Matrices with Risk Metrics
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    Chapter 8 Peculiarities in Multidimensional Regional Poverty
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    Chapter 9 Application of Partial Order Theory to Multidimensional Poverty Analysis in Switzerland
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    Chapter 10 Analysis of Social Participation: A Multidimensional Approach Based on the Theory of Partial Ordering
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    Chapter 11 POSET Analysis of Panel Data with POSAC
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    Chapter 12 Partially Ordered Set Theory and Sen’s Capability Approach: A Fruitful Relationship
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    Chapter 13 Ranking Chemicals with Respect to Accidents Frequency
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    Chapter 14 Formal Concept Analysis Applications in Chemistry: From Radionuclides and Molecular Structure to Toxicity and Diagnosis
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    Chapter 15 Partial Order Analysis of the Government Dependence of the Sustainable Development Performance in Germany’s Federal States
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    Chapter 16 A Matching Problem, Partial Order, and an Analysis Applying the Copeland Index
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    Chapter 17 Application of the Mixing Partial Order to Genes
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    Chapter 18 Analyzing Ethnopharmacological Data Matrices on Traditional Uses of Medicinal Plants with the Contribution of Partial Order Techniques
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    Chapter 19 PARSEC: An R Package for Partial Orders in Socio-Economics
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    Chapter 20 ≫PyHasse≪ and Cloud Computing
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Title
Partial Order Concepts in Applied Sciences
Published by
Springer International Publishing, January 2017
DOI 10.1007/978-3-319-45421-4
ISBNs
978-3-31-945419-1, 978-3-31-945421-4
Editors

Marco Fattore, Rainer Brüggemann

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 38%
Student > Bachelor 2 15%
Librarian 1 8%
Professor 1 8%
Student > Doctoral Student 1 8%
Other 2 15%
Unknown 1 8%
Readers by discipline Count As %
Economics, Econometrics and Finance 5 38%
Computer Science 2 15%
Business, Management and Accounting 2 15%
Immunology and Microbiology 1 8%
Social Sciences 1 8%
Other 0 0%
Unknown 2 15%