東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Type-2 fuzzy decision-making theorie...

Liu, Xinwang.

FindBook

Google Book

Amazon

博客來

Type-2 fuzzy decision-making theories, methodologies and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Type-2 fuzzy decision-making theories, methodologies and applications/ by Jindong Qin, Xinwang Liu.
作者:	Qin, Jindong.
其他作者:	Liu, Xinwang.
出版者:	Singapore :Springer Singapore : : 2019.,
面頁冊數:	xv, 271 p. :ill., digital ;24 cm.
內容註:	Chapter 1 Type-2 Fuzzy Sets and Its Extensions -- Chapter 2 Multiple criteria decision making with type-2 fuzzy information -- Chapter 3 Interval type-2 fuzzy aggregation operations based on Maclaurin means and its extensions -- Chapter 4 Interval type-2 fuzzy combined ranking method -- Chapter 5 Interval type-2 fuzzy decision making based on TOPSIS -- Chapter 6 Interval type-2 fuzzy decision making based on ANP -- Chapter 7 Interval type-2 fuzzy decision making based on TODIM -- Chapter 8 Interval type-2 fuzzy decision making based on LINMAP -- Chapter 9 An integrated interval type-2 fuzzy decision making based on VIKOR and Prospect theory -- Chapter 10 Interval type-2 fuzzy decision making based on Granular Computing and its application in personalized recommendation -- Chapter 11 Interval Type-2 Fuzzy Group Decision Making by Integrating Improved Best Worst Method with COPRAS for Emergency Material Supplier Selection.
Contained By:	Springer eBooks
標題:	Fuzzy decision making. -
電子資源:	https://doi.org/10.1007/978-981-13-9891-9
ISBN:	9789811398919

Type-2 fuzzy decision-making theories, methodologies and applications
Qin, Jindong.

Type-2 fuzzy decision-making theories, methodologies and applications[electronic resource] /by Jindong Qin, Xinwang Liu. - Singapore :Springer Singapore :2019. - xv, 271 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-996X. - Uncertainty and operations research..

Chapter 1 Type-2 Fuzzy Sets and Its Extensions -- Chapter 2 Multiple criteria decision making with type-2 fuzzy information -- Chapter 3 Interval type-2 fuzzy aggregation operations based on Maclaurin means and its extensions -- Chapter 4 Interval type-2 fuzzy combined ranking method -- Chapter 5 Interval type-2 fuzzy decision making based on TOPSIS -- Chapter 6 Interval type-2 fuzzy decision making based on ANP -- Chapter 7 Interval type-2 fuzzy decision making based on TODIM -- Chapter 8 Interval type-2 fuzzy decision making based on LINMAP -- Chapter 9 An integrated interval type-2 fuzzy decision making based on VIKOR and Prospect theory -- Chapter 10 Interval type-2 fuzzy decision making based on Granular Computing and its application in personalized recommendation -- Chapter 11 Interval Type-2 Fuzzy Group Decision Making by Integrating Improved Best Worst Method with COPRAS for Emergency Material Supplier Selection.

This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision problems are covered in depth. The authors offer an authoritative treatise on the essential topics, both at the theoretical and applied end; In a systematic and logically organized way, the book exposes the reader to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications. Numerous techniques of decision making are carefully generalized by bringing the ideas of type-2 fuzzy sets; this concerns well-known methods including TOPSIS, Analytical Network Process, TODIM, and VIKOR. This book exposes the readers to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications.

ISBN: 9789811398919

Standard No.: 10.1007/978-981-13-9891-9doiSubjects--Topical Terms:

814748
Fuzzy decision making.

LC Class. No.: QA279.6 / .Q55 2019

Dewey Class. No.: 519.542

Type-2 fuzzy decision-making theories, methodologies and applications
LDR:03003nmm a2200337 a 4500 001 2192688
003 DE-He213
005 20190809161118.0
006 m d
007 cr nn 008maaau
008 200508s2019 si s 0 eng d
020 $a 9789811398919 $q (electronic bk.)
020 $a 9789811398902 $q (paper)
024 7 $a 10.1007/978-981-13-9891-9 $2 doi
035 $a 978-981-13-9891-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QA279.6 $b .Q55 2019
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.542 $2 23
090 $a QA279.6 $b .Q1 2019
100 1 $a Qin, Jindong. $3 3413284
245 1 0 $a Type-2 fuzzy decision-making theories, methodologies and applications $h [electronic resource] / $c by Jindong Qin, Xinwang Liu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2019.
300 $a xv, 271 p. : $b ill., digital ; $c 24 cm.
490 1 $a Uncertainty and operations research, $x 2195-996X
505 0 $a Chapter 1 Type-2 Fuzzy Sets and Its Extensions -- Chapter 2 Multiple criteria decision making with type-2 fuzzy information -- Chapter 3 Interval type-2 fuzzy aggregation operations based on Maclaurin means and its extensions -- Chapter 4 Interval type-2 fuzzy combined ranking method -- Chapter 5 Interval type-2 fuzzy decision making based on TOPSIS -- Chapter 6 Interval type-2 fuzzy decision making based on ANP -- Chapter 7 Interval type-2 fuzzy decision making based on TODIM -- Chapter 8 Interval type-2 fuzzy decision making based on LINMAP -- Chapter 9 An integrated interval type-2 fuzzy decision making based on VIKOR and Prospect theory -- Chapter 10 Interval type-2 fuzzy decision making based on Granular Computing and its application in personalized recommendation -- Chapter 11 Interval Type-2 Fuzzy Group Decision Making by Integrating Improved Best Worst Method with COPRAS for Emergency Material Supplier Selection.
520 $a This book integrates the type-2 fuzzy sets and multiple criteria decision making analysis in recent years and offers an authoritative treatise on the essential topics, both at the theoretical and applied end. In this book, some basic theory, type-2 fuzzy sets, methodology, algorithms, are introduced and then some compelling case studies in decision problems are covered in depth. The authors offer an authoritative treatise on the essential topics, both at the theoretical and applied end; In a systematic and logically organized way, the book exposes the reader to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications. Numerous techniques of decision making are carefully generalized by bringing the ideas of type-2 fuzzy sets; this concerns well-known methods including TOPSIS, Analytical Network Process, TODIM, and VIKOR. This book exposes the readers to the essentials of the theory of type-2 fuzzy sets, methodology, algorithms, and their applications.
650 0 $a Fuzzy decision making. $3 814748
650 0 $a Fuzzy sets. $3 562997
650 1 4 $a Applied Statistics. $3 3300946
650 2 4 $a Methodology of the Social Sciences. $3 895565
650 2 4 $a Science and Technology Studies. $3 3221020
700 1 $a Liu, Xinwang. $3 3413285
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
830 0 $a Uncertainty and operations research. $3 2132537
856 4 0 $u https://doi.org/10.1007/978-981-13-9891-9
950 $a Mathematics and Statistics (Springer-11649)