Fuzzy Quantitative Management : Principles, Methodologies and Applications
by Shaopei Lin, Guohua Zhao
Philosophical Consideration of Quantitative management -- The role of “Fuzz-AI Model” in Quantitative Management -- The Conceptual Investigation of “Deep Data” and “Deep Knowledge” -- Fuzzy Quantitative Risk Management -- Quantitative Studies in Risk Management by Knowledge Engineering -- Fuzzy Quantitative Management in Economics -- Fuzzy Programming Modeling for Decision Making -- The Advances in Quantitative Management in Decision.
Year of publication: |
2023
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Authors: | Lin, Shaopei ; Zhao, Guohua |
Publisher: |
2023.: Singapore : Springer Nature Singapore 2023.: Singapore : Imprint: Springer |
Subject: | Fuzzy Sets | Quantitative Management | Artificial Intelligence | System Solution | Feasibility Studies | Fuzzy System | Decision Making | Risk Management | Engineering Management | Knowledge Management | Fuzzy-Set-Theorie | Fuzzy sets | Wissensmanagement | Knowledge management | Entscheidung | Decision | Risikomanagement | Risk management | Management-Informationssystem | Management information system | Künstliche Intelligenz | Artificial intelligence | Operations Research | Operations research |
Saved in:
Online Resource
Extent: | 1 Online-Ressource (XVIII, 165 p. 63 illus., 26 illus. in color.) |
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Series: | |
Type of publication: | Book / Working Paper |
Language: | English |
Notes: | Jointly published with Shanghai Jiao Tong University Press |
ISBN: | 978-981-10-7688-6 ; 978-981-10-7687-9 ; 978-981-10-7689-3 |
Other identifiers: | 10.1007/978-981-10-7688-6 [DOI] |
Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10014415199
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