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

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書目名稱Credibilistic Programming影響因子(影響力)




書目名稱Credibilistic Programming影響因子(影響力)學(xué)科排名




書目名稱Credibilistic Programming網(wǎng)絡(luò)公開度




書目名稱Credibilistic Programming網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Credibilistic Programming被引頻次




書目名稱Credibilistic Programming被引頻次學(xué)科排名




書目名稱Credibilistic Programming年度引用




書目名稱Credibilistic Programming年度引用學(xué)科排名




書目名稱Credibilistic Programming讀者反饋




書目名稱Credibilistic Programming讀者反饋學(xué)科排名

Armory

Credibilistic Programming,evitable. Credibilistic programming is a type of mathematical programming for handling the fuzzy decision problems. In the past years, researchers have proposed various efficient modeling approaches including expected value model, chance-constrained programming model, entropy optimization model, cro

Chandelier

parallelism

Petechiae

Entropy Optimization Model,e 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,

malign

Cross-Entropy Minimization Model,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,

malign

鞏固

Endergebnis wirtschaftlicher Natur,sed the concepts of possibility measure and necessity measure. It is proved that both possibility measure and necessity measure satisfy the properties of normality, nonnegativity and monotonicity. However, neither of them is self-dual. Since the duality is intuitive and important in both theory and

Musket

,Erratum to: Abgabenverh?ltnisse,evitable. Credibilistic programming is a type of mathematical programming for handling the fuzzy decision problems. In the past years, researchers have proposed various efficient modeling approaches including expected value model, chance-constrained programming model, entropy optimization model, cro

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