Articles liés à Advances in Fuzzy Decision Making: Theory and Practice

9783319369006: Advances in Fuzzy Decision Making: Theory and Practice

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.