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Hesitant fuzzy decision making metho...

Liao, Huchang.

Hesitant fuzzy decision making methodologies and applications

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Hesitant fuzzy decision making methodologies and applicationsby Huchang Liao, Zeshui Xu.
作者:	Liao, Huchang.
其他作者:	Xu, Zeshui.
出版者:	Singapore :Springer Singapore :2017.
面頁冊數:	xiii, 275 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Business.
電子資源:	http://dx.doi.org/10.1007/978-981-10-3265-3
ISBN:	9789811032653$q(electronic bk.)

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$q(electronic bk.)

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

188101
Business.

LC Class. No.: HD30.23

Dewey Class. No.: 658.40301

Hesitant fuzzy decision making methodologies and applications
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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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