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OverviewThis text introduces a general framework for sensitivity analysis in multi-objective decision making. It deals with decision making under partial information. The proper axiomatic foundations are developed, a convenient paramentric model is introduced and the adequate solution concepts are analyzed, together with algorithms to compute them. A theory of decision making, new sensitivity tools based on gauge functions and Bayesian hypothesis testing, and a description of their implementation are included. Full Product DetailsAuthor: David Rios InsuaPublisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K Edition: 1990 ed. Volume: 347 Dimensions: Width: 14.00cm , Height: 1.10cm , Length: 21.60cm Weight: 0.350kg ISBN: 9783540526926ISBN 10: 3540526927 Pages: 193 Publication Date: 08 August 1990 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of Contents1 Partial Information and Sensitivity Analysis in Decision Making. Introduction.- 2 Decision Making under Partial Information: Theory and Algorithms.- 3 Sensitivity Analysis in Multi-objective Decision Making.- 4 Computational experience.- 5 Conclusions.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |