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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.
| Autorius: | Iwona Skalna, Bogdan R¿biasz, Bart¿omiej Gawe¿, Tomasz Pe¿ech-Pilichowski, Jerzy Duda, Janusz Opi¿a, Beata Basiura, |
| Serija: | Studies in Fuzziness and Soft Computing |
| Leidėjas: | Springer Nature Switzerland |
| Išleidimo metai: | 2016 |
| Knygos puslapių skaičius: | 164 |
| ISBN-10: | 3319369008 |
| ISBN-13: | 9783319369006 |
| Formatas: | 235 x 155 x 10 mm. Knyga minkštu viršeliu |
| Kalba: | Anglų |
Parašykite atsiliepimą apie „Advances in Fuzzy Decision Making: Theory and Practice“
