國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Advances in fuzzy decision makingthe...

Skalna, Iwona.

Advances in fuzzy decision makingtheory and practice /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in fuzzy decision makingby Iwona Skalna ... [et al.].
其他題名:	theory and practice /
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.
電子資源:	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 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$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 /
LDR:02215nmm a2200325 a 4500 001 476807
003 DE-He213
005 20160502150130.0
006 m d
007 cr nn 008maaau
008 160526s2015 gw s 0 eng d
020 $a 9783319264943$q(electronic bk.)
020 $a 9783319264929$q(paper)
024 7 $a 10.1007/978-3-319-26494-3 $2 doi
035 $a 978-3-319-26494-3
040 $a GP $c GP
041 0 $a eng
050 4 $a Q342
072 7 $a UYQ $2 bicssc
072 7 $a COM004000 $2 bisacsh
082 0 4 $a 006.3 $2 23
090 $a Q342 $b .A244 2015
245 0 0 $a Advances in fuzzy decision making $h [electronic resource] : $b theory and practice / $c by Iwona Skalna ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2015.
300 $a xi, 151 p. : $b ill., digital ; $c 24 cm.
490 1 $a Studies in fuzziness and soft computing, $x 1434-9922 ; $v v.333
505 0 $a 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.
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.
650 0 $a Fuzzy decision making. $3 346451
650 0 $a Engineering. $3 210888
650 0 $a Operations research. $3 182516
650 0 $a Decision making. $3 183849
650 0 $a Computational intelligence. $3 210824
650 0 $a Engineering economy. $3 200120
650 2 4 $a Computational Intelligence. $3 338479
650 2 4 $a Engineering Economics, Organization, Logistics, Marketing. $3 274009
650 2 4 $a Operation Research/Decision Theory. $3 585050
700 1 $a Skalna, Iwona. $3 731513
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Studies in fuzziness and soft computing ; $v v.273. $3 558583
856 4 0 $u http://dx.doi.org/10.1007/978-3-319-26494-3
950 $a Engineering (Springer-11647)