Advances in Fuzzy Decision Making Theory and Practice

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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.

Book details

Edition:
1st ed. 2015
Series:
Studies in Fuzziness and Soft Computing (Book 333)
Author:
Iwona Skalna, Bogdan Rębiasz, Bartłomiej Gaweł, Beata Basiura, Jerzy Duda, Janusz Opiła, Tomasz Pełech-Pilichowski
ISBN:
9783319264943
Related ISBNs:
9783319264929
Publisher:
Springer International Publishing
Pages:
N/A
Reading age:
Not specified
Includes images:
Yes
Date of addition:
2019-09-14
Usage restrictions:
Copyright
Copyright date:
2015
Copyright by:
Springer International Publishing, Cham 
Adult content:
No
Language:
English
Categories:
Business and Finance, Computers and Internet, Nonfiction, Technology