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These three stochastic multi-objective NDP models are formulated as the expected value multi-objective programming (EVMOP) model, chance constrained multi-objective programming (CCMOP) model, and dependent chance multi-objective programming (DCMOP) model in a bi-level programming framework using different criteria to hedge against demand uncertainty.
Further, we calculated the likelihood of each dataset under the Independent model, Dependent model and Dependent model with the weight parameters fixed to each other.
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As a result, several new models, i.e., expected value model, chance-constrained programming model and dependent-chance programming model, are constructed on the basis of credibility theory.
Three mathematical models are constructed for the problem, including expected value goal programming model, chance-constrained goal programming model and dependent-chance goal programming model.
These three stochastic NDP models were formulated as the expected value model, chance-constrained model, and dependent-chance model in a bilevel programming framework using different criteria to hedge against demand uncertainty.
Considering different modeling purposes, we provide three stochastic GP models with different philosophies to model planners' NDP decision under demand uncertainty, i.e., the expected value GP model, chance-constrained GP model, and dependent-chance GP model.
Finding optimal designs for experiments for non-linear models and dependent data is a challenging task.
For conditional independent data, the independent models and dependent models had similar results closer to their true values.
Why are the p-values so inconsistent across models and dependent on the lag periods?
Financial plans for operating HIV/syphilis testing services were homogenous across organizational models and dependent on unstable sources of funding.
The normal electromagnetic transient models of transmission line include π-sections model, Bergeron model and frequency dependent model.
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