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

误解

书目名称Credibilistic Programming影响因子(影响力)




书目名称Credibilistic Programming影响因子(影响力)学科排名




书目名称Credibilistic Programming网络公开度




书目名称Credibilistic Programming网络公开度学科排名




书目名称Credibilistic Programming被引频次




书目名称Credibilistic Programming被引频次学科排名




书目名称Credibilistic Programming年度引用




书目名称Credibilistic Programming年度引用学科排名




书目名称Credibilistic Programming读者反馈




书目名称Credibilistic Programming读者反馈学科排名

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

巩固

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: Abgabenverhältnisse,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

高深莫测