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Pairwise Comparison Matrices and their Fuzzy Extension = Multi-criteria Decision Making with a New Fuzzy Approach /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Pairwise Comparison Matrices and their Fuzzy Extension/ by Jana Krejčí.
其他題名:	Multi-criteria Decision Making with a New Fuzzy Approach /
作者:	Krejčí, Jana.
面頁冊數:	XVIII, 273 p.online resource. :
Contained By:	Springer Nature eBook
標題:	Computational intelligence. -
電子資源:	https://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 /
Krejčí, Jana.

Pairwise Comparison Matrices and their Fuzzy ExtensionMulti-criteria Decision Making with a New Fuzzy Approach /[electronic resource] :by Jana Krejčí. - 1st ed. 2018. - XVIII, 273 p.online resource. - Studies in Fuzziness and Soft Computing,3661434-9922 ;. - Studies in Fuzziness and Soft Computing,319.

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:

568984
Computational intelligence.

LC Class. No.: Q342

Dewey Class. No.: 006.3

Pairwise Comparison Matrices and their Fuzzy Extension = Multi-criteria Decision Making with a New Fuzzy Approach /
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