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Theoretical properties of the expected complete influence time under the incremental chance model are presented.
The proposed fuzzy chance model is difficult to solve due to the incorporation of fuzzy variables.
In addition, the solutions of the fuzzy chance model are compared with those of the traditional deterministic model.
We propose the incremental chance model to characterize the diffusion of influence, which is progressive and able to achieve complete influence.
It should be noted that this does not mean that the results of the fuzzy chance model based on credibility theory are confusing.
To further confirm the effectiveness of the proposed fuzzy chance model, the operation strategy of a larger VPP system in 6 h is tested.
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In the event that the results displayed no variation beyond that expected by chance, models were simplified to fixed-effects pooling of sensitivity, specificity, or both.
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.
As our results on the relevant spatial extension of the socio-economic context indicate that the second-order neighbouring districts have no impact on training chances, model 4 only focuses on home and first-order neighbouring districts.
QUESTION FROM LITTLEFLUFFYCAT: You're model-thin — did you have a chance to model any of Mssr Gaultier's pieces?
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com