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Hesitant Fuzzy Decision Making Methodologies and Applications

✍ Scribed by Huchang Liao, Zeshui Xu (auth.)


Publisher
Springer Singapore
Year
2017
Tongue
English
Leaves
288
Series
Uncertainty and Operations Research
Edition
1
Category
Library

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✦ Synopsis


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.

✦ Table of Contents


Front Matter....Pages i-xiii
Hesitant Fuzzy Set and Its Extensions....Pages 1-36
Novel Correlation and Entropy Measures of Hesitant Fuzzy Sets....Pages 37-72
Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators....Pages 73-114
Hesitant Fuzzy Multiple Criteria Decision Making Methods with Complete Weight Information....Pages 115-168
Hesitant Fuzzy Multiple Criteria Decision Making Methods with Incomplete Weight Information....Pages 169-219
Decision Making with Hesitant Fuzzy Preference Relation....Pages 221-275

✦ Subjects


Operation Research/Decision Theory;Computational Intelligence;Operating Systems


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