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Hesitant fuzzy decision making metho...

Liao, Huchang.

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Hesitant fuzzy decision making methodologies and applications

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hesitant fuzzy decision making methodologies and applications/ by Huchang Liao, Zeshui Xu.
Author:	Liao, Huchang.
other author:	Xu, Zeshui.
Published:	Singapore :Springer Singapore : : 2017.,
Description:	xiii, 275 p. :ill., digital ;24 cm.
[NT 15003449]:	Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation.
Contained By:	Springer eBooks
Subject:	Business. -
Online resource:	http://dx.doi.org/10.1007/978-981-10-3265-3
ISBN:	9789811032653

Hesitant fuzzy decision making methodologies and applications
Liao, Huchang.

Hesitant fuzzy decision making methodologies and applications[electronic resource] /by Huchang Liao, Zeshui Xu. - Singapore :Springer Singapore :2017. - xiii, 275 p. :ill., digital ;24 cm. - Uncertainty and operations research,2195-996X. - Uncertainty and operations research..

Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation.

This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.

ISBN: 9789811032653

Standard No.: 10.1007/978-981-10-3265-3doiSubjects--Topical Terms:

627273
Business.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Hesitant fuzzy decision making methodologies and applications
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100 1 $a Liao, Huchang. $3 3219213
245 1 0 $a Hesitant fuzzy decision making methodologies and applications $h [electronic resource] / $c by Huchang Liao, Zeshui Xu.
260 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2017.
300 $a xiii, 275 p. : $b ill., digital ; $c 24 cm.
490 1 $a Uncertainty and operations research, $x 2195-996X
505 0 $a Preface -- 1 Hesitant Fuzzy Set and Its Extensions -- 2 Novel Correlation and Entropy Measures for Hesitant Fuzzy Set -- 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators -- 4 Hesitant Fuzzy Multiple Criteria Decision Making with Complete Weight Information -- 5 Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weights -- 6 Decision Making with Hesitant Fuzzy Preference Relation.
520 $a This book offers a comprehensive and systematic introduction to the latest research on hesitant fuzzy decision-making theory. It includes six parts: the hesitant fuzzy set and its extensions, novel hesitant fuzzy measures, hesitant fuzzy hybrid weighted aggregation operators, hesitant fuzzy multiple-criteria decision-making with incomplete weights, hesitant fuzzy multiple criteria decision-making with complete weights information, and the hesitant fuzzy preference relation based decision-making theory. These methodologies are implemented in various fields such as decision-making, medical diagnosis, cluster analysis, service quality management, e-learning management and environmental management. A valuable resource for engineers, technicians, and researchers in the fields of fuzzy mathematics, operations research, information science, management science and engineering, it can also be used as a textbook for postgraduate and senior undergraduate students.
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650 0 $a Operating Systems. $3 892491
650 2 4 $a Computational Intelligence. $3 1001631
700 1 $a Xu, Zeshui. $3 2054719
710 2 $a SpringerLink (Online service) $3 836513
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