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Books > Business & Economics > Business & management > Management & management techniques > Operational research

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Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Hardcover, 1st ed. 2020) Loot Price: R2,789
Discovery Miles 27 890
Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Hardcover, 1st ed. 2020): Wei Zhou, Zeshui Xu

Qualitative Investment Decision-Making Methods under Hesitant Fuzzy Environments (Hardcover, 1st ed. 2020)

Wei Zhou, Zeshui Xu

Series: Studies in Fuzziness and Soft Computing, 376

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Loot Price R2,789 Discovery Miles 27 890 | Repayment Terms: R261 pm x 12*

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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.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: Studies in Fuzziness and Soft Computing, 376
Release date: March 2019
First published: 2020
Authors: Wei Zhou • Zeshui Xu
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 144
Edition: 1st ed. 2020
ISBN-13: 978-3-03-011348-3
Categories: Books > Business & Economics > Finance & accounting > Finance > General
Books > Business & Economics > Business & management > Management & management techniques > Operational research
Books > Science & Mathematics > Mathematics > Applied mathematics > General
Books > Computing & IT > Applications of computing > Artificial intelligence > General
Books > Money & Finance > General
LSN: 3-03-011348-5
Barcode: 9783030113483

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