Ranking and Prioritization for Multi-indicator Systems (Record no. 106003)

000 -LEADER
fixed length control field 04414nam a22004575i 4500
001 - CONTROL NUMBER
control field 978-1-4419-8477-7
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20140220083728.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781441984777
-- 978-1-4419-8477-7
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4419-8477-7
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA276-280
072 #7 - SUBJECT CATEGORY CODE
Subject category code PBT
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code PD
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code MAT029000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 519.5
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Brüggemann, Rainer.
Relator term author.
245 10 - TITLE STATEMENT
Title Ranking and Prioritization for Multi-indicator Systems
Medium [electronic resource] :
Remainder of title Introduction to Partial Order Applications /
Statement of responsibility, etc by Rainer Brüggemann, Ganapati P. Patil.
264 #1 -
-- New York, NY :
-- Springer New York,
-- 2011.
300 ## - PHYSICAL DESCRIPTION
Extent XXVI, 338 p.
Other physical details online resource.
336 ## -
-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
338 ## -
-- online resource
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347 ## -
-- text file
-- PDF
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490 1# - SERIES STATEMENT
Series statement Environmental and Ecological Statistics ;
Volume number/sequential designation 5
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- Why Prioritization, Why Ranking -- Partial Order and Hasse Diagrams -- Simple Combinatorial Structures -- Sensitivity and Ambiguity -- Structures of Partial Orders -- Hasse Diagrams Based on Transformed Data Matrices -- Reducing the Number of Incomparabilities -- Formal Concept Analysis -- Methods to Obtain Linear or Weak Orders by Means of Partial Order -- Comparison of Partial, Linear and Weak Orders -- Illustrative Case Studies -- Case Studies: Child Development (Sociology) -- Case Study: Stream Channel Stability Infrastructure at Bridge Crossings (Engineering Sciences) -- Case Study: Watersheds Analysis (Hydrology) -- Case Study: Environmental Performance Index (EPI) (Human and Environmental Health) -- Partial Order and Related Disciplines -- Partial Order and Software -- Ranking and Prioritization with Partial Order for Multi-Indicator Systems - An Integrative View with a Look Forward -- Appendix -- Index.
520 ## - SUMMARY, ETC.
Summary, etc Ranking issues are found everywhere. For example, bank houses, universities, towns, watersheds etc. are ranked. But also assessment of students in one discipline is a ranking. This last example is trivial, because we have only one criterion, namely the quality of the student in that discipline. In the other cases ranking can be a very hard job. Why? There is often no measure. How do we measure towns with respect to living quality? How do we measure the hazard exerted by chemicals? No chemical has its intrinsic identity card where its hazard can be identified. Thus multi-indicator systems come into play. We gather indicators which help to characterize the items of interest for ranking. Measurement of indicators, selecting indicators, testing indicators. And we arrive at a multi-indicator system. We have gathered useful information for ranking. However, we do not know how to derive ranking from the multitude of valuable information. In a popular approach, the indicator values are weight-averaged. The resulting weighted averages are used to obtain the ranking. We offer the mathematical tool of partial order as a tool to get insight into the process, starting with the multi-indicator system and finishing up with ranking. Application of partial order involving multi-indicator systems is in its initial phases and is advancing with more and more tools. This book provides a timely introduction to the partial order theory and its techniques with worked out illustrations and applications to a variety of live case studies. It is written for interested social and technical scientists, statisticians, , computer scientists, and graph theorists, stakeholders, instructors, and students at graduate and senior undergraduate levels. We have enjoyed writing it. You will hopefully enjoy reading it and using it.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics for Life Sciences, Medicine, Health Sciences.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Patil, Ganapati P.
Relator term author.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9781441984760
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Environmental and Ecological Statistics ;
Volume number/sequential designation 5
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-1-4419-8477-7
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