Advances in fuzzy decision making : theory and practice
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Bibliographic Information
Advances in fuzzy decision making : theory and practice
（Studies in fuzziness and soft computing, v. 333）
Springer, c2015
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Includes bibliographical references
Description and Table of Contents
Description
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.
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.
by "Nielsen BookData"