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Type-2 fuzzy decision-making theorie...

Liu, Xinwang.

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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Type-2 fuzzy decision-making theories, methodologies and applications/ by Jindong Qin, Xinwang Liu.
Author:	Qin, Jindong.
other author:	Liu, Xinwang.
Published:	Singapore :Springer Singapore : : 2019.,
Description:	xv, 271 p. :ill., digital ;24 cm.
[NT 15003449]:	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
Subject:	Fuzzy decision making. -
Online resource:	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
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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.
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