Pairwise Comparison Matrices and their Fuzzy Extension (Record no. 79142)

000 -LEADER
fixed length control field 03586nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-3-319-77715-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801220951.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180316s2018 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319777153
-- 978-3-319-77715-3
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Krejčí, Jana.
245 10 - TITLE STATEMENT
Title Pairwise Comparison Matrices and their Fuzzy Extension
Sub Title Multi-criteria Decision Making with a New Fuzzy Approach /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2018.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XVIII, 273 p.
490 1# - SERIES STATEMENT
Series statement Studies in Fuzziness and Soft Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Pairwise Comparison Matrices -- Fuzzy Set Theory -- Fuzzy Pairwise Comparison Matrices -- Incomplete Large-dimensional Pairwise Comparison Matrices -- Discussion and Future Research. .
520 ## - SUMMARY, ETC.
Summary, etc 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.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-77715-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2018.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations research.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Management science.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research, Management Science .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Operations Research and Decision Theory.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-0808 ;
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-- ZDB-2-ENG
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