Advances in Fuzzy Decision Making Theory and Practice /
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 mathe...
| Main Authors: | , , , , , , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2015.
|
| Edition: | 1st ed. 2015. |
| Series: | Studies in Fuzziness and Soft Computing,
333 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
| Summary: | 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. |
|---|---|
| Physical Description: | XI, 151 p. 58 illus. in color. online resource. |
| ISBN: | 9783319264943 |
| ISSN: | 1434-9922 ; |