Skalna / Rebiasz / Rebiasz Advances in Fuzzy Decision Making

Theory and Practice
1. Auflage 2015
ISBN: 978-3-319-26494-3
Verlag: Springer International Publishing
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, Band 333, 151 Seiten, eBook

Reihe: Studies in Fuzziness and Soft Computing

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.

Zielgruppe

Research

Autoren/Hrsg.

Skalna, Iwona

Rebiasz, Bogdan

Gawel, Bartlomiej

Basiura, Beata

Duda, Jerzy

Opila, Janusz

Pelech-Pilichowski, Tomasz

Inhaltsverzeichnis

Fuzzy Numbers.- Ordering of Fuzzy Numbers.- Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence.- Multi-Attribute Decision Making Process and its Application.- Risk Assessment in the Presence of Uncertainty.- Application of Fuzzy Theory in Steel Production Planning and Scheduling.- Application of Fuzzy Decision Trees in Analog Forecasting.- Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data.