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.
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.
Advances in Fuzzy Decision Making: Theory and Practice
Advances in Fuzzy Decision Making: Theory and Practice
eBook (1st ed. 2015)
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Product Details
| ISBN-13: | 9783319264943 |
|---|---|
| Publisher: | Springer-Verlag New York, LLC |
| Publication date: | 11/06/2015 |
| Series: | Studies in Fuzziness and Soft Computing , #333 |
| Sold by: | Barnes & Noble |
| Format: | eBook |
| File size: | 3 MB |