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Pairwise comparison matrices and the...

Krejci, Jana.

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Pairwise comparison matrices and their fuzzy extension = multi-criteria decision making with a new fuzzy approach /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Pairwise comparison matrices and their fuzzy extension/ by Jana Krejci.
Reminder of title:	multi-criteria decision making with a new fuzzy approach /
Author:	Krejci, Jana.
Published:	Cham :Springer International Publishing : : 2018.,
Description:	xviii, 273 p. :ill., digital ;24 cm.
[NT 15003449]:	Introduction -- Pairwise Comparison Matrices -- Fuzzy Set Theory -- Fuzzy Pairwise Comparison Matrices -- Incomplete Large-dimensional Pairwise Comparison Matrices -- Discussion and Future Research.
Contained By:	Springer eBooks
Subject:	Multiple criteria decision making. -
Online resource:	http://dx.doi.org/10.1007/978-3-319-77715-3
ISBN:	9783319777153

Pairwise comparison matrices and their fuzzy extension = multi-criteria decision making with a new fuzzy approach /
Krejci, Jana.

Pairwise comparison matrices and their fuzzy extensionmulti-criteria decision making with a new fuzzy approach /[electronic resource] :by Jana Krejci. - Cham :Springer International Publishing :2018. - xviii, 273 p. :ill., digital ;24 cm. - Studies in fuzziness and soft computing,v.3661434-9922 ;. - Studies in fuzziness and soft computing ;v.366..

Introduction -- Pairwise Comparison Matrices -- Fuzzy Set Theory -- Fuzzy Pairwise Comparison Matrices -- Incomplete Large-dimensional Pairwise Comparison Matrices -- Discussion and Future Research.

This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.

ISBN: 9783319777153

Standard No.: 10.1007/978-3-319-77715-3doiSubjects--Topical Terms:

564005
Multiple criteria decision making.

LC Class. No.: T57.95 / .K745 2018

Dewey Class. No.: 658.4033

Pairwise comparison matrices and their fuzzy extension = multi-criteria decision making with a new fuzzy approach /
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100 1 $a Krejci, Jana. $3 3308715
245 1 0 $a Pairwise comparison matrices and their fuzzy extension $h [electronic resource] : $b multi-criteria decision making with a new fuzzy approach / $c by Jana Krejci.
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505 0 $a Introduction -- Pairwise Comparison Matrices -- Fuzzy Set Theory -- Fuzzy Pairwise Comparison Matrices -- Incomplete Large-dimensional Pairwise Comparison Matrices -- Discussion and Future Research.
520 $a This book offers the first comprehensive and critical literature review of fuzzy pairwise comparison methods derived from methods originally developed for crisp pairwise comparison matrices. It proposes new fuzzy extensions of these methods and provides a detailed study of the differences and analogies between all the reviewed methods, as well as a detailed description of their drawbacks, with the help of many numerical examples. In order to prevent the drawbacks related to the reviewed fuzzy pairwise comparison methods, the book introduces constrained fuzzy arithmetic in fuzzy extension of the pairwise comparison methods. It proposes new fuzzy pairwise comparison methods based on constrained fuzzy arithmetic and critically compares them with the reviewed methods. It describes the application of the newly developed methods to incomplete large-dimensional pairwise comparison matrices showcased in a real-life case study. Written for researchers, graduate and PhD students interested in multi-criteria decision making methods based on both crisp and fuzzy pairwise comparison matrices, this self-contained book offers an overview of cutting-edge research and all necessary information to understand the described tools and use them in real-world applications.
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