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Advances in fuzzy decision making[electronic resource] :theory and practice /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	006.3
書名/作者:	Advances in fuzzy decision making : theory and practice // by Iwona Skalna ... [et al.].
其他作者:	Skalna, Iwona.
出版者:	Cham : : Springer International Publishing :, 2015.
面頁冊數:	xi, 151 p. : : ill., digital ;; 24 cm.
Contained By:	Springer eBooks
標題:	Fuzzy decision making.
標題:	Engineering.
標題:	Operations research.
標題:	Decision making.
標題:	Computational intelligence.
標題:	Engineering economy.
標題:	Computational Intelligence.
標題:	Engineering Economics, Organization, Logistics, Marketing.
標題:	Operation Research/Decision Theory.
ISBN:	9783319264943
ISBN:	9783319264929
內容註:	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.
摘要、提要註:	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.
電子資源:	http://dx.doi.org/10.1007/978-3-319-26494-3

Advances in fuzzy decision making[electronic resource] :theory and practice /
Advances in fuzzy decision makingtheory 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

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

499017
Fuzzy decision making.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Advances in fuzzy decision making[electronic resource] :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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