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The emphasis in this paper is mainly on the point estimation of unknown parameters for uncertainty distribution. Firstly, principle of least squares and the least squares estimation are introduced. Secondly, by the k-th empirical moments of the expert's experimental data, we establish a method of moments to estimate the unknown parameters for uncertainty distribution. Finally, a moment estimation...
This paper shows a practical approach to GaN-based HEMT self-consistent electro-thermal simulation based on spectral-element method (SEM). The method is proposed to solve the heat transport equation in GaN-Based HEMTs. The high-order basis functions employed are orthogonal, leading to a diagonal mass matrix and a more sparse stiffness matrix. So the updating of thermal field is fully explicit when...
The forecasting problem of time series is an intriguing and pivotal research topic. Due to salient capabilities of tracking uncertainty and vagueness in observations, fuzzy time series has received more and more attention from not only researchers but investors. However, there exist two unsolved problems in the modeling of fuzzy time series, i.e., how to partition the universe of discourse and how...
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