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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.

By: Skalna, Iwona [author.]Contributor(s): Rębiasz, Bogdan [author.] | Gaweł, Bartłomiej [author.] | Basiura, Beata [author.] | Duda, Jerzy [author.] | Opiła, Janusz [author.] | Pełech-Pilichowski, Tomasz [author.] | SpringerLink (Online service)Material type: TextTextSeries: Studies in Fuzziness and Soft ComputingPublication details: Cham : Springer International Publishing : Imprint: Springer, 2015Edition: 1st ed. 2015Description: XI, 151 p. 58 illus. in color. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9783319264943Subject(s): engineering | Operations research | Decision making | Computational Intelligence | Engineering economics | Engineering economy | Engineering | Computational Intelligence | Engineering Economics, Organization, Logistics, Marketing | Operation Research/Decision TheoryDDC classification: 006.3 LOC classification: Q342Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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