Decomposition Theorems for Semi-order Fuzzy Supermartingales and Submartingales

Based on semi - order fuzzy supermaringales andsubmartingales, the semi- order fuzzy supermartingaleand submartingale theory is developed. The main resultis to generalize the Doob decomposition and the Riesz de-composition theorems of standard martingale theory tosemi - order fuzzy supermaringales and submartingales.The structure of semi - order fuzzy supermaringales andsubmartingales and the conditions of that they has Doobdecomposition (resp. Riesz decomposition) are discussedin detail.     

Riesz Decomposition Theorems for Continuous-time Fuzzy Supermartingales

Compared with discrete-time fuzzy supermartingales, the structure and the properties of trajectories for continuous-time fuzzy supermartingales are more complex. This paper focuses on Riesz decomposition for continuous-time fuzzy supermartingales. The concepts of two types of Riesz decomposition (Riesz decomposition and level Riesz decomposition) are given and some necessary and sufficient conditions of that a continuous-time fuzzy supermartingale has Riesz decomposition are discussed in detail.     

Semi-order Fuzzy Supermartingales and Submartingales

There are some mathematical models(see Example2.4)and analogous results in standard martingale theorywhich can not be described by the usual fuzzy martingaletheory because of the lack of corresponding semi-orderin the fuzzy number space(E~n,D).In this paper,asuitable semi-order in the fuzzy number space(E~n,D)and the semi-order fuzzy supermartingale and submar-tingale are introduced,the charaterlstics of semi-ordersupermartingales and submartingales,as well as theDood's stopping theorem for them(the bounded stoppingtimes theorem and the general stopping times theoremfor a class of closable semi-order fuzzy supermartin-gales and submartingales)are established.     

APPROXIMATION OF ADDITIVE FUNCTIONALS OF THE SYMMETRIC HUNT PROCESSES AND ITS APPLICATION

Approximate theorem of positive continuous additive functionals is discussed and then used to give a d-dimensional analogue to the representation of additive functiouals of one-dimensional Brownian Motion with respect to local time.     

模糊随机微分方程

讨论了模糊随机微分方程解的存在唯一性,并给出一阶线性模糊随机微分方程解的表达式.     

模糊数序列的收敛性

通过对连续模糊数的定义，在模糊数序列的极限值为连续模糊数的条件下，证明了模糊数序列的度量收敛、水平收敛以及图收敛这3种收敛性相互等价，并在文中给出了相应的举例，说明其有效性。     

模糊线性回归模型的参数估计

对观测值为梯形模糊数的线性回归模型，通过一个适当的距离利用最小二乘法讨论参数估计的存在性。对于一元线性回归得到参数估计的解析表达式，对多元线性回归的参数估计转化为二次规划问题。文中例子说明了模型的适用性。     

连续半鞅随机微分方程解的存在性,唯一性,收敛性和稳定性

Ikeda和Watanabe在某种非Lipschitz条件下研究了It 型方程解的存在唯一性。本文在把它推广至连续半鞅方程的同时,进一步将此类条件局部化,得到了在较弱的非Lipschitz条件下连续半鞅随机微分方程解的存在唯一性;还讨论了方程解的收敛性和稳定性。     

Stochastic Optimal Estimation with Fuzzy Random Variables and Fuzzy Kalman Filtering

By constructing a mcan-square performance index in the case of fuzzy random variable, the optimal estimation theorem for unknown fuzzy state using the fuzzy observation data are given. The state and output of linear discrete-time dynamic fuzzy system with Gaussian noise are Gaussian fuzzy random variable sequences. An approach to fuzzy Kalman filtering is discussed. Fuzzy Kalman filtering contains two parts： a real-valued non-random recurrence equation and the standard Kalman filtering.     

Convergence of Fuzzy Set Sequences

There are more than one mode of convergence with respect to the fuzzy set sequences. In this paper, common six modes of convergence and their relationships are discussed. These six modes are convergence in uniform metric D, convergence in separable metric Dp or Dp*, 1≤p<∞, convergence in level set, strong convergence in level set and weak convergence. Suitable counterexamples are given. The necessary and sufficient conditions of convergence in uniform metric D are described. Some comments on the convergence of LR-fuzzy number sequences are represented.