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Advances in fuzzy decision makingthe...
~
Skalna, Iwona.
Advances in fuzzy decision makingtheory and practice /
Record Type:
Electronic resources : Monograph/item
Title/Author:
Advances in fuzzy decision makingby Iwona Skalna ... [et al.].
Reminder of title:
theory and practice /
other author:
Skalna, Iwona.
Published:
Cham :Springer International Publishing :2015.
Description:
xi, 151 p. :ill., digital ;24 cm.
Contained By:
Springer eBooks
Subject:
Fuzzy decision making.
Online resource:
http://dx.doi.org/10.1007/978-3-319-26494-3
ISBN:
9783319264943$q(electronic bk.)
Advances in fuzzy decision makingtheory and practice /
Advances in fuzzy decision making
theory and practice /[electronic resource] :by Iwona Skalna ... [et al.]. - Cham :Springer International Publishing :2015. - xi, 151 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3331434-9922 ;. - Studies in fuzziness and soft computing ;v.273..
Fuzzy Numbers -- Ordering of Fuzzy Numbers -- Fuzzy Random Variable and the Dempster-Shafer Theory of Evidence -- Multi-Attribute Decision Making Process and its Application -- Risk Assessment in the Presence of Uncertainty -- Application of Fuzzy Theory in Steel Production Planning and Scheduling -- Application of Fuzzy Decision Trees in Analog Forecasting -- Selected Issues of Visualisation of Fuzziness in Cardiac Imaging Data.
This book shows how common operation management methods and algorithms can be extended to deal with vague or imprecise information in decision-making problems. It describes how to combine decision trees, clustering, multi-attribute decision-making algorithms and Monte Carlo Simulation with the mathematical description of imprecise or vague information, and how to visualize such information. Moreover, it discusses a broad spectrum of real-life management problems including forecasting the apparent consumption of steel products, planning and scheduling of production processes, project portfolio selection and economic-risk estimation. It is a concise, yet comprehensive, reference source for researchers in decision-making and decision-makers in business organizations alike.
ISBN: 9783319264943$q(electronic bk.)
Standard No.: 10.1007/978-3-319-26494-3doiSubjects--Topical Terms:
346451
Fuzzy decision making.
LC Class. No.: Q342
Dewey Class. No.: 006.3
Advances in fuzzy decision makingtheory and practice /
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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.
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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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Engineering (Springer-11647)
based on 0 review(s)
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電子館藏
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1
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000000120026
電子館藏
1圖書
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EB Q342 A244 2015
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1 records • Pages 1 •
1
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http://dx.doi.org/10.1007/978-3-319-26494-3
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