000 04743nam a22005055i 4500
001 978-0-387-33987-0
003 DE-He213
005 20250710083952.0
007 cr nn 008mamaa
008 100301s2006 xxu| s |||| 0|eng d
020 _a9780387339870
_a99780387339870
024 7 _a10.1007/0-387-33987-6
_2doi
082 0 4 _a658.40301
_223
100 1 _aSaaty, Thomas L.
_eauthor.
245 1 0 _aDecision Making with the Analytic Network Process
_h[recurso electrónico] :
_bEconomic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and Risks /
_cby Thomas L. Saaty, Luis G. Vargas.
264 1 _aBoston, MA :
_bSpringer US,
_c2006.
300 _aIX, 278 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _arecurso en línea
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v95
505 0 _aThe Analytic Network Process -- Forecasting the Resurgence of the U.S. Economy in 2001: An Expert Judgment Approach -- An Analytic Network Process Model for Financial-Crisis Forecasting -- Outsourcing a Firm's Application Development Group -- ANWR - Artic National Wildlife Refuge: an ANP Validation Example -- The Ford Explorer Case -- Pennsylvania High-Speed Maglev Project -- U.S. Energy Security -- Stabilizing Social Security for the Long-Term -- The Most Hopeful Outcome in the Middle East Conflict: The Analytic Network Process Approach -- The Conflict Between China and Taiwan -- U. S. Response to North Korean Nuclear Threat -- Criteria for Evaluating Group Decision-Making Methods.
520 _aThe Analytic Network Process (ANP) developed by Thomas Saaty in his work on multicriteria decision making applies network structures with dependence and feedback to complex decision making. This book is a selection of applications of ANP to economic, social and political decisions, and also to technological design. The chapters comprise contributions of scholars, consultants and people concerned about the outcome of certain important decisions who applied the Analytic Network Process to determine the best outcome for each decision from among several potential outcomes. The ANP is a methodological tool that is helpful to organize knowledge and thinking, elicit judgments registered in both in memory and in feelings, quantify the judgments and derive priorities from them, and finally synthesize these diverse priorities into a single mathematically and logically justifiable overall outcome. In the process of deriving this outcome, the ANP also allows for the representation and synthesis of diverse opinions in the midst of discussion and debate. The ANP offers economists a considerably different approach for dealing with economic problems than the usual quantitative models used. The ANP approach is based on absolute scales used to represent pairwise comparison judgments in the context of dominance with respect to a property shared by the homogeneous elements being compared. How much or how many times more does A dominate B with respect to property P? Actually people are able to answer this question by using words to indicate intensity of dominance that all of us are equipped biologically to do all the time (equal, moderate, strong, very strong, and extreme) whose conversion to numbers, validation and extension to inhomogeneous elements form the foundation of the AHP/ANP. Numerous applications of the ANP have been made to economic problems, among which prediction of the turn-around dates for the US economy in the early 1990's and again in 2001 whose accuracy and validity were both confirmed later in the news. They were based on the process of comparisons of mostly intangible factors rather than on financial, employment and other data and statistics.
650 0 _aECONOMICS.
650 0 _aECONOMETRICS.
650 0 _aTECHNOLOGY.
650 0 _aPOLITICAL SCIENCE.
650 0 _aPSYCHOMETRICS.
650 1 4 _aECONOMICS/MANAGEMENT SCIENCE.
650 2 4 _aOPERATIONS RESEARCH/DECISION THEORY.
650 2 4 _aTECHNOLOGY MANAGEMENT.
650 2 4 _aECONOMETRICS.
650 2 4 _aPSYCHOMETRICS.
650 2 4 _aPOLITICAL SCIENCE.
700 1 _aVargas, Luis G.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9780387338590
830 0 _aInternational Series in Operations Research & Management Science,
_x0884-8289 ;
_v95
856 4 0 _uhttp://dx.doi.org/10.1007/0-387-33987-6
_zVer el texto completo en las instalaciones del CICY
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999 _c57328
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