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Record Nr. |
UNINA9910299674503321 |
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Autore |
Skalna Iwona |
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Titolo |
Advances in Fuzzy Decision Making [[electronic resource] ] : Theory and Practice / / by Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Beata Basiura, Jerzy Duda, Janusz Opiła, Tomasz Pełech-Pilichowski |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
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ISBN |
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Edizione |
[1st ed. 2015.] |
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Descrizione fisica |
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1 online resource (XI, 151 p. 58 illus. in color.) |
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Collana |
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Studies in Fuzziness and Soft Computing, , 1434-9922 ; ; 333 |
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Disciplina |
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Soggetti |
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Computational intelligence |
Engineering economics |
Engineering economy |
Operations research |
Decision making |
Computational Intelligence |
Engineering Economics, Organization, Logistics, Marketing |
Operations Research/Decision Theory |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references. |
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Nota di contenuto |
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Fuzzy 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. |
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Sommario/riassunto |
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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 |
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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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