Hesitant Fuzzy Decision Making Methodologies and Applications.
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...
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| Main Author: | |
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| Other Authors: | |
| Format: | eBook |
| Language: | English |
| Published: |
[Place of publication not identified] :
Springer Science and Business Media : Springer,
2016.
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| Series: | Uncertainty and operations research.
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| Subjects: | |
| ISBN: | 9789811032653 9789811032646 |
| Physical Description: | 1 online resource |
Cover
Table of contents
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| 100 | 1 | |a Liao, Huchang. | |
| 245 | 1 | 0 | |a Hesitant Fuzzy Decision Making Methodologies and Applications. |
| 264 | 1 | |a [Place of publication not identified] : |b Springer Science and Business Media : |b Springer, |c 2016. | |
| 300 | |a 1 online resource | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
| 338 | |a online zdroj |b cr |2 rdacarrier | ||
| 490 | 1 | |a Uncertainty and operations research | |
| 505 | 0 | |a Preface; Contents; Abstract; 1 Hesitant Fuzzy Set and Its Extensions; 1.1 Hesitant Fuzzy Set; 1.1.1 Introduction to Hesitant Fuzzy Set; 1.1.2 Operational Laws of Hesitant Fuzzy Elements; 1.1.3 Comparison Laws of Hesitant Fuzzy Elements; 1.2 Extensions of Hesitant Fuzzy Set; 1.2.1 Interval-Valued Hesitant Fuzzy Set; 1.2.2 Dual Hesitant Fuzzy Set; 1.2.3 Hesitant Fuzzy Linguistic Term Set; References; 2 Novel Correlation and Entropy Measures of Hesitant Fuzzy Sets; 2.1 Novel Correlation Measures of Hesitant Fuzzy Sets; 2.1.1 The Existing Correlation Measures of Hesitant Fuzzy Sets | |
| 505 | 8 | |a 2.1.2 Novel Correlation Measures of Hesitant Fuzzy Sets2.1.3 Applications of the Correlation Measures of Hesitant Fuzzy Sets; 2.2 Novel Entropy Measures of Hesitant Fuzzy Sets; 2.2.1 The Existing Entropy Measures of Hesitant Fuzzy Sets; 2.2.2 Novel Two-Tuple Entropy Measures of Hesitant Fuzzy Sets; References; 3 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.1 Hesitant Fuzzy Aggregation Operators; 3.2 Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.3 Quasi Hesitant Fuzzy Hybrid Weighted Aggregation Operators | |
| 505 | 8 | |a 3.4 Generalized Hesitant Fuzzy Hybrid Weighted Aggregation Operators3.5 Induced Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.6 Multiple Criteria Decision Making with Hesitant Fuzzy Hybrid Weighted Aggregation Operators; 3.6.1 Hesitant Fuzzy Multiple Criteria Decision Making with Single Decision Maker; 3.6.2 Hesitant Fuzzy Multiple Criteria Decision Making with Multiple Decision Makers; References; 4 Hesitant Fuzzy Multiple Criteria Decision Making Methods with Complete Weight Information; 4.1 Hesitant Fuzzy VIKOR Method for Multiple Criteria Decision Making | |
| 505 | 8 | |a 4.1.1 Multiple Criteria Decision Making and the VIKOR Method4.1.2 Hesitant Fuzzy VIKOR Method for Multiple Criteria Decision Making; 4.1.3 Application of the Hesitant Fuzzy VIKOR Method in Airline Service Quality Evaluation; 4.2 Hesitant Fuzzy ELECTRE II Methods for Multiple Criteria Decision Making; 4.2.1 Main Characteristics of the ELECTRE Methods; 4.2.2 The HF-ELECTRE I Method; 4.2.3 The HF-ELECTRE II Method; 4.2.4 Application of the HF-ELECTRE Methods in Multiple Criteria Decision Making; References | |
| 505 | 8 | |a 5 Hesitant Fuzzy Multiple Criteria Decision Making Methods with Incomplete Weight Information5.1 Satisfaction Degree Based Interactive Decision Making Methods for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.1 A Satisfaction Degree Based Method for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.2 An Interactive Method for Hesitant Fuzzy Multiple Criteria Decision Making with Incomplete Weight Information; 5.1.3 Application of the Approaches in Domestic Airline Service Quality Evaluation | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 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. | ||
| 590 | |a SpringerLink |b Springer Complete eBooks | ||
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| 650 | 0 | |a Operations research. | |
| 650 | 0 | |a Decision making. | |
| 650 | 0 | |a Operating systems. | |
| 650 | 0 | |a Computational intelligence. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Xu, Zeshui. | |
| 776 | 0 | 8 | |i Print version: |a Liao, Huchang. |t Hesitant Fuzzy Decision Making Methodologies and Applications. |d [Place of publication not identified] : Springer Science and Business Media : Springer, 2016 |z 9811032645 |z 9789811032646 |
| 830 | 0 | |a Uncertainty and operations research. | |
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