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

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Credibilistic Programming,ss-entropy minimization model, and regret minimization model. This chapter provides a general description on credibilistic programming. In addition, a brief introduction on genetic algorithm will also be given.

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Cross-Entropy Minimization Model,Qin et al. proposed a cross-entropy minimization model to study the fuzzy portfolio selection problems. This chapter mainly includes the definition of cross-entropy, minimum cross-entropy principle, cross-entropy minimization model, fuzzy simulation and applications.

AWL

不朽中国

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Chance-Constrained Programming Model,ing models have been widely used in many real-life applications. This chapter mainly introduces the concepts of optimistic value and pessimistic value, chance-constrained programming models, fuzzy simulation, and applications in fuzzy portfolio analysis.

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Entropy Optimization Model,nimizing the uncertainty of the fuzzy objective under certain expected constraints. This chapter mainly includes the definition of fuzzy entropy, maximum entropy theorems, entropy optimization model and its crisp equivalents, fuzzy simulation, and applications in portfolio selection problem.

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Expected Value Model,ad been widely used in many real-life applications. This chapter mainly introduces the concepts of expected value, variance, skewness, moment, as well as the fuzzy simulation technique, expected value model and applications in fuzzy portfolio analysis.

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