000 04337nam a22003855i 4500
001 287669
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008 150903s2011 xxu| o |||| 0|eng d
020 _a9781441984777
_99781441984777
024 7 _a10.1007/9781441984777
_2doi
035 _avtls000339250
039 9 _a201509030837
_bVLOAD
_c201404300357
_dVLOAD
_y201402060930
_zstaff
040 _aMX-SnUAN
_bspa
_cMX-SnUAN
_erda
050 4 _aQA276-280
100 1 _aBrüggemann, Rainer.
_eautor
_9316967
245 1 0 _aRanking and Prioritization for Multi-indicator Systems :
_bIntroduction to Partial Order Applications /
_cby Rainer Brüggemann, Ganapati P. Patil.
264 1 _aNew York, NY :
_bSpringer New York,
_c2011.
300 _axxvI, 338 páginas
_brecurso en línea.
336 _atexto
_btxt
_2rdacontent
337 _acomputadora
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _aarchivo de texto
_bPDF
_2rda
490 0 _aEnvironmental and Ecological Statistics ;
_v5
500 _aSpringer eBooks
505 0 _aPreface -- 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 _aRanking 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.
590 _aPara consulta fuera de la UANL se requiere clave de acceso remoto.
700 1 _aPatil, Ganapati P.
_eautor
_9300936
710 2 _aSpringerLink (Servicio en línea)
_9299170
776 0 8 _iEdición impresa:
_z9781441984760
856 4 0 _uhttp://remoto.dgb.uanl.mx/login?url=http://dx.doi.org/10.1007/978-1-4419-8477-7
_zConectar a Springer E-Books (Para consulta externa se requiere previa autentificación en Biblioteca Digital UANL)
942 _c14
999 _c287669
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