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Advances in Fuzzy Decision Making: Theory and Practice

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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.

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Detail Information

Series Title

Studies in Fuzziness and Soft Computing

Call Number

006.3 ADV a

Publisher

Cham, Switzerland : Springer., 2015

Collation

XI, 151

Language

English

ISBN/ISSN

978-3-319-26494-3

Classification

006.3

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

Ed. 1

Subject(s)

Computational Intelligence
Operations Research and Decision Theory

Specific Detail Info

-

Statement of Responsibility

Iwona Skalna...[et al.]

Other Information

Cataloger

umi

Source

https://link.springer.com/content/pdf/10.1007/978-3-319-26494-3.pdf?pdf=button

Validator

Taufik

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