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Advances in fuzzy decision making = theory and practice /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Advances in fuzzy decision making/ by Iwona Skalna ... [et al.].
其他題名:	theory and practice /
其他作者:	Skalna, Iwona.
出版者:	Cham :Imprint: Springer, : 2015.,
面頁冊數:	xi, 151 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Operation Research/Decision Theory. -
電子資源:	http://dx.doi.org/10.1007/978-3-319-26494-3
ISBN:	9783319264943

Advances in fuzzy decision making = theory and practice /
Advances in fuzzy decision makingtheory and practice /[electronic resource] :by Iwona Skalna ... [et al.]. - Cham :Imprint: Springer,2015. - xi, 151 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3331434-9922 ;. - Studies in fuzziness and soft computing ;vol. 45..

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

Standard No.: 10.1007/978-3-319-26494-3doiSubjects--Topical Terms:

881408
Operation Research/Decision Theory.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in fuzzy decision making = theory and practice /
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520 $a 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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