Overview
- Describes new investment decision-making methods based on hesitant fuzzy sets
- Shows how to apply them to the analysis of qualitative data and fuzzy information
- Illustrative examples are used to foster understanding of the method and its application
Part of the book series: Studies in Fuzziness and Soft Computing (STUDFUZZ, volume 376)
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Table of contents (7 chapters)
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Front Matter
Keywords
- Investment Portfolio Models
- Risk Investment
- Risk Preferences
- Hesitant Fuzzy Envelopment Analysis (HFEA)
- Hesitant Fuzzy Preference Envelopment Analysis (HFPEA)
- Hesitant Fuzzy Trade-off Rule
- Hesitant Fuzzy Portfolio Selection Model
- Hesitant Fuzzy Peer-evaluation Model
- Hesitant Fuzzy VaR Measurement
- Expected Hesitant Fuzzy VaR Measurement
- Fuzzy Data Envelopment Analysis
- Tail Decision Making
- Probabilistic Hesitant Fuzzy Environment
- Asymmetric Fuzzy Preference Relations
- Asymmetric Hesitant Fuzzy Sigmoid Preference Relations
- Fuzzy Peer Evaluation
- Strategy Fusion Under Hesitant Fuzzy Environment
- mathematical finance
About this book
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.
Authors and Affiliations
Bibliographic Information
Book Title: Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments
Authors: Wei Zhou, Zeshui Xu
Series Title: Studies in Fuzziness and Soft Computing
DOI: https://doi.org/10.1007/978-3-030-11349-0
Publisher: Springer Cham
eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-11348-3Published: 02 April 2019
eBook ISBN: 978-3-030-11349-0Published: 22 March 2019
Series ISSN: 1434-9922
Series E-ISSN: 1860-0808
Edition Number: 1
Number of Pages: XIV, 144
Number of Illustrations: 6 b/w illustrations, 21 illustrations in colour
Topics: Computational Intelligence, Financial Engineering, Operations Research/Decision Theory, Financial Mathematics