Author: Iwona Skalna, Bogdan Rębiasz, Bartlomiej Gawel, Beata Basiura, Jerzy Duda, Janusz Opila, Tomasz Pelech-Pilichowski
Edition: 1st ed. 2015 edition
Publication Date: November 8, 2015
Publisher: Springer
ISBN-10: 3319264923
ISBN-13: 978-3319264929
Pages: 151 pages
Format: pdf
Size: 4.1M
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This 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.
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http://dlfeb.com/book/advances-in-fuzzy-decision-making-theory-and-practice-studies-in-fuzziness-and-soft-computing/