Decision Making with the Analytic Network Process: Economic, Political, Social and Technological Applications with Benefits, Opportunities, Costs and ... Research & Management Science, Band 95) - Softcover

Saaty, Thomas L. L.; Vargas, Luis G.

Softcover

ISBN 10: 1441941541 ISBN 13: 9781441941541

Verlag: Springer, 2011

Inhaltsangabe

The 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 used 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 deriving this outcome, the ANP also allows for the representation of diverse opinions in the midst of discussion and debate.

Über diesen Titel

Über die Autorin bzw. den Autor

Thomas L. Saaty (1926 - 2017) was a Distinguished University Professor at the University of Pittsburgh (USA), where he taught in the Joseph M. Katz Graduate School of Business. Prior to coming to the University of Pittsburgh, Saaty was a professor at the Wharton School, University of Pennsylvania (USA) for 10 years. Before that he was working at the Arms Control and Disarmament Agency at the U.S. State Department. He was the architect of the Analytic Hierarchy Process (AHP) and its generalization to complex decisions with dependence and feedback, the Analytic Network Process (ANP).

Luis G. Vargas is a Professor of Business Analytics and Operations at the Joseph M. Katz Graduate School of Business of the University of Pittsburgh (USA). His research focuses on decision theory, practical applications of the Analytic Hierarchy Process (AHP), artificial intelligence in manufacturing, the use of artificial intelligence techniques for scheduling, measurement of resource utilization, group decision making, Bayesian networks, and forecasting.

H. J. Zoffer served as dean of the Joseph M. Katz Graduate School of Business of the University of Pittsburgh (USA) from 1968 to 1996, following a career in teaching and university administration. He is the author of a number of articles and books on such subjects as individual and group decision-making under risk, the social responsibility of business, continuing education for managers, business ethics, corporate risk analysis, accounting education, and improving institutional credibility.

Amos Guiora is Professor of Law at the S.J. Quinney College of Law, University of Utah. He teaches Criminal Procedure, International Law, Global Perspectives on Counterterrorism and Religion and Terrorism, incorporating innovative scenario-based instruction to address national and international security issues and dilemmas. He has publishedextensively on issues related to national security, limits of interrogation, religion and terrorism, the limits of power, multiculturalism and human rights. His latest book: The Crime of Complicity: The Bystander in the Holocaust, directly contributed to legislation ratified by the Utah Legislature in 2021 that criminalizes bystanders who do not intervene on behalf of children and vulnerable adults. The legislation, introduced by Rep. Brian King and sponsored by Sen. Kurt Bramble, enjoyed overwhelming bipartisan support.

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The 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 accuracyand 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.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2011
• Sprache: Englisch
• ISBN 10: 1441941541
• ISBN 13: 9781441941541
• Einband: Taschenbuch
• Anzahl der Seiten: 296
• Kontakt zum Hersteller: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Deutschland