Data & IT
Pocket
Advances in Fuzzy Decision Making
Iwona Skalna • Bogdan Rbiasz • Bartomiej Gawe • Beata Basiura • Jerzy Duda
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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.
- Format: Pocket/Paperback
- ISBN: 9783319369006
- Språk: Engelska
- Antal sidor: 151
- Utgivningsdatum: 2016-08-23
- Förlag: Springer International Publishing AG