复模糊值函数的收敛性

复模糊值函数是定义在实数集R上取值于F(C)(所有的复模糊数的集合)中的复模糊数的函数.将在新的序关系意义下,定义复模糊值函数的极限,并讨论复模糊值函数的收敛性质及Cauchy收敛判别法等.     

复模糊数及其收敛性

在新的模糊数序关系意义下,将定义在所有实模糊数上的模糊距离推广到所有复模糊数集上的模糊距离.并以此为基础,定义了复模糊数列的极限,讨论了复模糊数列的保号性、有界性等收敛性质及C auchy收敛判别法等.     

复模糊值函数级数的收敛性

在新的模糊数序关系意义下,介绍了复模糊数的概念及运算性质,复模糊数列收敛的定义及复模糊级数收敛性的判别法.并以此为基础,定义了复模糊值函数级数的收敛性及一致收敛性,讨论了复模糊值函数级数的收敛判别法及其基本性质,以及一致收敛的判别法.     

模糊数的运算性质及模糊数的距离与极限

通过对零模糊数以及模糊数的序关系的重新定义,使得模糊数与实数有了更相似的运算性质。定义了模糊数的距离,讨论了模数列的极限及性质。     

复模糊函数与模糊复函数的微分及其性质

已有的复模糊函数的微分是由复区间值函数的微分和扩张原理给出的,本文利用模糊结构元理论及模糊数的广义限定运算给出与已有的复模糊函数微分等价的定义,同时给出模糊复函数微分的定义,并讨论其解析性质,给出模糊复函数解析的充要条件.     

复值函数的广义复模糊积分北大核心

本文给出了非负复值函数关于模糊复测度的广义复模糊积分的几种等价形式,并讨论了由该积分表示的几种复模糊积分方程有解的充要条件.在此基础上,进一步引进了一般复值函数的广义复模糊积分的概念,给出了该积分的一些基本性质,并在一定条件下证明了单调收敛定理.     

基于结构元的复模糊数四则运算

运用模糊数的模糊结构元表述理论,引入了区间[-1,1]上单调函数的某些同序单调变换,将复模糊数的加、减、乘、除运算转换为同序单调函数之间的相应运算.解决了以往基于扩张原理运算中的遍历过程带来的极大不便.同时,讨论了模糊结构元线性生成的复模糊数及其运算.     

广义模糊数及其序列的极限

重新定义了广义模糊数,引入了"序"、"运算"及"度量",得到了一些基本性质,并研究了广义模糊数序列的极限及性质,给出了单调收敛、闭区间套等重要定理,使模糊数对应理论得以拓广.     

复模糊集值复模糊测度空间上的可测函数及其性质

以改进的实可测函数的概念,借用新定义的模糊实数值可测函数概念,进一步将模糊测度与模糊可测函数概念扩展到更广泛的复模糊集上,给出复模糊集值复模糊可测函数概念,研究复模糊集值复模糊测度空间上的可测函数的性质,讨论了复模糊集值复模糊可测函数在此定义下一些基本性质的遗传性,得到了复模糊集值复模糊可测函数的一些重要性质,这些性质实际上拓广了经典可测函数的相应结论。为进一步讨论复模糊集值复模糊积分的研究奠定基础。     

全系数模糊型线性规划的偏差法

讨论并研究了全系数模糊型线性规划问题的一种新的求解方法.利用新定义的模糊数序关系以及考虑到目标值与决策值之间的关系,可将全系数模糊线性规划问题转换成一个新的普通的线性规划问题,进而可求出目标函数值.     

The Convergence of Fuzzy Complex Valued Series

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The middle-parametric representation of fuzzy numbers and applications to fuzzy interpolation

In this paper we introduce the middle-parametric representation of a fuzzy number presenting some of the advantages in the use of this representation. A special attention is focused on the subset of symmetric fuzzy numbers presenting the special properties of their arithmetic. The approach on symmetric fuzzy numbers is sustained by the applications of these kinds of fuzzy numbers in fuzzy linear programming and by the presence of the symmetric Gaussian type fuzzy numbers in the theory of errors. As potential applications of the middle-parametric representation, some fuzzy interpolation problems are considered.     

Solving a full fuzzy linear programming using lexicography method and fuzzy approximate solution

This paper discusses full fuzzy linear programming (FFLP) problems of which all parameters and variable are triangular fuzzy numbers. We use the concept of the symmetric triangular fuzzy number and introduce an approach to defuzzify a general fuzzy quantity. For such a problem, first, the fuzzy triangular number is approximated to its nearest symmetric triangular number, with the assumption that all decision variables are symmetric triangular. An optimal solution to the above-mentioned problem is a symmetric fuzzy solution. Every FLP models turned into two crisp complex linear problems; first a problem is designed in which the center objective value will be calculated and since the center of a fuzzy number is preferred to (its) margin. With a special ranking on fuzzy numbers, the FFLP transform to multi objective linear programming (MOLP) where all variables and parameters are crisp.     

复Fuzzy函数的Buckley导数与Buckley积分

本文对Ｊ．Ｊ．Ｂｕｃｋｌｅｙ在［１］、［２］中给出的实变量复Ｆｕｚｚｙ数值函数的导数与积分加以推广,引出复变量复Ｆｕｚｚｙ数值的导数与积分概念,为研究Ｆｕｚｚｙ复分析打下一定的基础。     

复Fuzzy级数及其收敛性的进一步讨论

给出复 Fuzzy数项级数与复 Fuzzy函数级数的概念 ,讨论它们的收敛性问题 ,给出它们收敛性的相应判别法则。     

基于结构元的复模糊数及其序列极限

复模糊数是模糊复分析中的基本概念,在模糊复分析中,它的运算是基于扩张原理的形式给出的,是对元素遍历某个条件所对应的结果进行运算,这种遍历过程给实际操作带来了很多的不便,因此,在一定程度上也阻碍了模糊复分析理论的应用.对此,本文基于模糊结构元的理论基础,探讨了复模糊数运算的另一种新的途径,这种方法简化了复模糊数的运算,也...     

度量模糊标志值离散程度的变异系数

继续[1],[2]的讨论，进一步探讨由Fuzzy数据资料计算变异系数的问题，提出了正有界闭Fuzzy数平均取值大小的评价指标，据此而给出了由表示为正有界闭Fuzzy数的数据资料计算变异系数的计算公式，还给出了数据资料的三角Fuzzy数和对称形Fuzzy数时变异系数的计算公式。     

Ranking fuzzy quantities based on the angle of the reference functions

Ordering fuzzy quantities and their comparison play a key tool in many applied models in the world and in particular decision-making procedures. However a huge number of researches is attracted to this filed but until now there is any unique accepted method to rank the fuzzy quantities. In fact, each proposed method may has some shortcoming. So we are going to present a novel method based on the angle of the reference functions to cover a wide range of fuzzy quantities by over coming the draw backs of some existing methods. In the mentioned firstly, the angle between the left and right membership functions (the reference functions) of every fuzzy set is called Angle of Fuzzy Set (AFS), and then in order to extend ranking of two fuzzy sets the angle of fuzzy sets and α-cuts is used. The method is illustrated by some numerical examples and in particular the results of ranking by the proposed method and some common and existing methods for ranking fuzzy sets is compared to verify the advantage of the new approach. In particular, based on the results of comparison of our method with well known methods which are exist in the literature, we will see that against of most existing ranking approaches, our proposed approach can rank fuzzy numbers that have the same mode and symmetric spreads. In fact, the proposed method in this paper can effectively rank symmetric fuzzy numbers as well as the effective methods which are appeared in the literature. Moreover, unlike of most existing ranking approaches, our proposed approach can rank non-normal fuzzy sets. Finally, we emphasize that the concept of fuzzy ordering is one of key role in establishing the numerical algorithms in operations research such as fuzzy primal simplex algorithms, fuzzy dual simplex algorithms and as well as discussed in the works of Ebrahimnejad and Nasseri and coworkers , , , , ,  and .     

On the restudy of fuzzy complex analysis: Part II. The continuity and differentiation of fuzzy complex functions

We consider functions mapping complex numbers into fuzzy complex numbers or mapping fuzzy complex numbers into complex numbers. We study the continuity and differentiation of such functions.