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)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
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.
Similar content being viewed by others
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
Table of contents (7 chapters)
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