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OverviewThis book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike. Full Product DetailsAuthor: Iwona Skalna , Bogdan Rębiasz , Bartłomiej Gaweł , Beata BasiuraPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Edition: 1st ed. 2015 Volume: 333 Dimensions: Width: 15.50cm , Height: 1.10cm , Length: 23.50cm Weight: 3.731kg ISBN: 9783319264929ISBN 10: 3319264923 Pages: 151 Publication Date: 17 November 2015 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Table of ContentsFuzzy Numbers.- Ordering of Fuzzy Numbers.- Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence.- Multi-Attribute Decision Making Process and its Application.- Risk Assessment in the Presence of Uncertainty.- Application of Fuzzy Theory in Steel Production Planning and Scheduling.- Application of Fuzzy Decision Trees in Analog Forecasting.- Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |