Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis (Record no. 79918)

000 -LEADER
fixed length control field 03708nam a22005775i 4500
001 - CONTROL NUMBER
control field 978-3-319-42001-1
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801221652.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 161008s2017 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783319420011
-- 978-3-319-42001-1
082 04 - CLASSIFICATION NUMBER
Call Number 006.3
100 1# - AUTHOR NAME
Author Zhang, Xiaolu.
245 10 - TITLE STATEMENT
Title Hesitant Fuzzy Methods for Multiple Criteria Decision Analysis
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2017.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XV, 191 p. 6 illus., 3 illus. in color.
490 1# - SERIES STATEMENT
Series statement Studies in Fuzziness and Soft Computing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TOPSIS -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on TODIM -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on QUALIFLEX -- Hesitant Fuzzy Multiple Criteria Decision Analysis Based on LINMAP -- Consensus Model-Based Hesitant Fuzzy Multiple Criteria Group Decision Analysis.
520 ## - SUMMARY, ETC.
Summary, etc The book offers a comprehensive introduction to methods for solving multiple criteria decision making and group decision making problems with hesitant fuzzy information. It reports on the authors’ latest research, as well as on others’ research, providing readers with a complete set of decision making tools, such as hesitant fuzzy TOPSIS, hesitant fuzzy TODIM, hesitant fuzzy LINMAP, hesitant fuzzy QUALIFEX, and the deviation modeling approach with heterogeneous fuzzy information. The main focus is on decision making problems in which the criteria values and/or the weights of criteria are not expressed in crisp numbers but are more suitable to be denoted as hesitant fuzzy elements. The largest part of the book is devoted to new methods recently developed by the authors to solve decision making problems in situations where the available information is vague or hesitant. These methods are presented in detail, together with their application to different type of decision-making problems. All in all, the book represents a valuable reference guide for graduate students and researchers in the both fields of fuzzy logic and decision making. .
700 1# - AUTHOR 2
Author 2 Xu, Zeshui.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-319-42001-1
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2017.
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-- text
-- txt
-- rdacontent
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-- computer
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-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
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
-- Operations Research and Decision Theory.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1860-0808 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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