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Advances in Fuzzy Decision Making: Theory and Practice: Studies in Fuzziness and Soft Computing, cartea 333

Autor Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Beata Basiura, Jerzy Duda, Janusz Opiła, Tomasz Pełech-Pilichowski
en Limba Engleză Paperback – 23 aug 2016
Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems. It describes how to combine decision trees, clustering,multi-attribute decision-making algorithms and Monte Carlo Simulation with themathematical description of imprecise or vague information, and how tovisualize such information. Moreover, it discusses a broad spectrum ofreal-life management problems including forecasting the apparentconsumption of steel products, planning and scheduling of production processes,project portfolio selection and economic-risk estimation. It is a concise, yetcomprehensive, reference source for researchers in decision-making anddecision-makers in business organizations alike.
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Specificații

ISBN-13: 9783319369006
ISBN-10: 3319369008
Pagini: 151
Ilustrații: XI, 151 p. 58 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.24 kg
Ediția:Softcover reprint of the original 1st ed. 2015
Editura: Springer International Publishing
Colecția Springer
Seria Studies in Fuzziness and Soft Computing

Locul publicării:Cham, Switzerland

Cuprins

Fuzzy Numbers.- Ordering of Fuzzy Numbers.- FuzzyRandom Variable and the Dempster-Shafer Theory of Evidence.- Multi-Attribute Decision Making Process and itsApplication.- Risk Assessment in the Presence of Uncertainty.- Applicationof Fuzzy Theory in Steel Production Planning and Scheduling.- Applicationof Fuzzy Decision Trees in Analog Forecasting.- Selected Issues ofVisualisation of Fuzziness in Cardiac Imaging Data.

Textul de pe ultima copertă

Thisbook shows how common operation management methods and algorithms can beextended to deal with vague or imprecise information in decision-makingproblems. It describes how to combine decision trees, clustering,multi-attribute decision-making algorithms and Monte Carlo Simulation with themathematical description of imprecise or vague information, and how tovisualize such information. Moreover, it discusses a broad spectrum ofreal-life management problems including forecasting the apparentconsumption of steel products, planning and scheduling of production processes,project portfolio selection and economic-risk estimation. It is a concise, yetcomprehensive, reference source for researchers in decision-making anddecision-makers in business organizations alike.

Caracteristici

cutting-edge research in fuzzy decision theory and applications how to deal with uncertain and incomplete information in decision-making Includespractical case-studies on real-life management problems Includes supplementary material: sn.pub/extras