Advances in Fuzzy Decision Making: Theory and Practice

by Iwona Skalna, Bogdan Rebiasz, Bartlomiej Gawel, Beata Basiura, Jerzy Duda

Overview

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.

Product Details

ISBN-13:	9783319369006
Publisher:	Springer International Publishing
Publication date:	08/23/2016
Series:	Studies in Fuzziness and Soft Computing , #333
Edition description:	Softcover reprint of the original 1st ed. 2015
Pages:	151
Product dimensions:	6.10(w) x 9.25(h) x (d)

Table of Contents

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.