Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Studies in Fuzziness and Soft Computing, 376, Band 376) - Hardcover

Zhou, Wei; Xu, Zeshui

Hardcover

ISBN 10: 3030113485 ISBN 13: 9783030113483

Verlag: Springer, 2019

Inhaltsangabe

This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

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Über die Autorin bzw. den Autor

Wenping Yu is Associate Professor at Southwest University in Chongqing, China. She obtained her B.S. and Ph.D. degrees in Cartography and Geographic Information Systems from the University of Chinese Academy of Sciences, Lanzhou, China, in 2012 and 2015, respectively. She served as Visiting Scholar at the Engineering Science, Computer Science, and Imaging Laboratory (ICube Laboratory) at the University of Strasbourg, France, from 2017 to 2018. Yu is Member of the Thermal Infrared Remote Sensing Professional Committee. Her research focuses on quantitative remote sensing in the thermal infrared field, particularly in land surface temperature retrieval, validation, and reconstruction, as well as monitoring thermal environmental changes. Yuechen Li - Professor and PhD Supervisor at Southwest University, School of Geographical Science, Chongqing, China. Engages primarily in remote sensing and GIS applications, with a focus on resources, environment, and national land space monitoring and assessment. Email: liyuechen@swu.edu.cn Xujun Han - Professor and PhD Supervisor at Southwest University, School of Geographical Science, Chongqing, China. His research includes multi-source remote sensing data assimilation, model integration, and high-performance computing for land surface analysis. Email: hanxujun@swu.edu.cn Lei Fan - Professor and PhD Supervisor at Southwest University, School of Geographical Science, Chongqing, China. His research Focuses on:(1)Microwave remote sensing inversion for vegetation optical depth and soil moisture; (2)Forest carbon stocks monitoring via passive microwave sensing; (3)Forest carbon sinks and global change response mechanisms. Email: leifan33@swu.edu.cn Wei Zhou - Associate Professor at Southwest University, School of Geographical Science, Chongqing, China. Specializes in ecological environment remote sensing including: (1) simulation of terrestrial vegetation carbon sources and sinks; (2)quantitative assessment of land degradation; (3)remote sensing inversion of soil nutrients and soil quality assessment. Email: zhouw866@163.com Mingguo Ma - Professor and PhD Supervisor at Southwest University, School of Geographical Science, Chongqing, China. Focuses on global terrestrial ecology remote sensing and evluation on land surface remote sensing products. Email: mmg@swu.edu.cn Weiyu Shi - Professor and PhD Supervisor at Southwest University, School of Geographical Science, Chongqing, China. Mainly engaged in research on climate change and terrestrial ecosystem processes. Email: shiweiyu@swu.edu.cn

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This book describes five qualitative investment decision-making methods based on the hesitant fuzzy information. They are: (1) the investment decision-making method based on the asymmetric hesitant fuzzy sigmoid preference relations, (2) the investment decision-making method based on the hesitant fuzzy trade-off and portfolio selection, (3) the investment decision-making method based on the hesitant fuzzy preference envelopment analysis, (4) the investment decision-making method based on the hesitant fuzzy peer-evaluation and strategy fusion, and (5) the investment decision-making method based on the EHVaR measurement and tail analysis.

Details zur Ausgabe

• Verlag: Springer
• Erscheinungsdatum: 2019
• Sprache: Englisch
• ISBN 10: 3030113485
• ISBN 13: 9783030113483
• Einband: Gebundene Ausgabe
• Auflage: 1
• Anzahl der Seiten: 158
• Kontakt zum Hersteller: Springer Nature Customer Service Center GmbH; ProductSafety@springernature.com; ; Europaplatz 3; Heidelberg; 69115; Deutschland