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Titlebook: Credibilistic Programming; An Introduction to M Xiang Li Book 2013 Springer-Verlag Berlin Heidelberg 2013 Credibility measure.Entropy optim

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發(fā)表于 2025-3-23 12:35:39 | 只看該作者
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發(fā)表于 2025-3-23 16:11:45 | 只看該作者
Vereinigung für die bergbaulichen Interessene framework of credibility theory, Li and Liu presented a Shannon-like entropy for both discrete fuzzy variable and continuous fuzzy variable. Furthermore, Li and Liu proposed the maximum entropy principle, and proved that out of all the credibility functions with fixed expected value and variance,
13#
發(fā)表于 2025-3-23 21:18:04 | 只看該作者
,Erratum to: Abgabenverh?ltnisse,ross-entropy for fuzzy variable by using credibility function, and proposed a fuzzy cross-entropy minimization principle, which tells us that out of all credibility functions satisfying given moment constraints, choose the one that is closest to the given a priori credibility function. Furthermore,
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發(fā)表于 2025-3-24 00:24:49 | 只看該作者
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發(fā)表于 2025-3-24 04:01:03 | 只看該作者
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發(fā)表于 2025-3-24 14:32:46 | 只看該作者
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發(fā)表于 2025-3-24 17:42:00 | 只看該作者
Book 2013It provides fuzzy programming approach to solve real-life decision problems in fuzzy environment. Within the framework of credibility theory, it provides a self-contained, comprehensive and up-to-date presentation of fuzzy programming models, algorithms and applications in portfolio analysis.
19#
發(fā)表于 2025-3-24 20:49:16 | 只看該作者
https://doi.org/10.1007/978-3-642-36376-4Credibility measure; Entropy optimization model; Fuzzy variable; Portfolio analysis; Regret minimization
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發(fā)表于 2025-3-24 23:49:21 | 只看該作者
978-3-642-42717-6Springer-Verlag Berlin Heidelberg 2013
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