模糊网络最大流算法研究

将模糊数差值B~-A~视为模糊方程X~+A~=B~的解,进而探讨了模糊方程的求解问题,并基于目的规划理论,给出了模糊方程的广义解定义.运用目的规划的单纯型方法,得到了模糊方程广义解的计算公式及模糊方程广义解的若干性质.由模糊方程的广义解引申出了模糊数差值的定义.运用该定义将传统的网络最大流算法推广到模糊环境.结果表明,模糊数差值定义,克服了基于扩展原理意义下的模糊运算所产生的各种问题,解决了这些传统理论方法的拓展问题.     

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。     

全系数模糊的广义模糊变量线性规划

构建并讨论了一类约束条件与目标函数均含模糊系数的广义模糊变量线性规划问题.首先,简单介绍了模糊结构元理论并基于模糊结构元理论定义了表征模糊数面积信息的散度指标.其次,兼顾距离与面积信息,给出了三角模糊数与拟三角模糊数比较排序的新方法,将全系数模糊的广义模糊变量线性规划转化为普通的多目标线性规划.最后,借鉴分层规划的思想,结合模糊数本身性质,给出了此类问题的一种简化求解方法.     

广义毕达哥拉斯正态模糊集成算子及其决策应用

将毕达哥拉斯模糊数与直觉正态模糊数相结合,提出了毕达哥拉斯正态模糊数,研究了其运算和运算性质,定义了毕达哥拉斯正态模糊数的得分函数和精确函数,实现其大小排序.然后,针对毕达哥拉斯正态模糊信息的集成问题,提出毕达哥拉斯正态模糊有序加权平均(PNFOWA)算子、广义有序加权平均(GPNFOWA)算子和毕达哥拉斯正态模糊有序加权几何平均(PNFOWGA)算子及广义有序加权几何平均(GPNFOWGA)算子,并研究了其性质.最后,提出基于广义毕达哥拉斯正态模糊集成算子的多属性决策方法,并通过实例说明该方法的有效性.     

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.     

广义梯形模糊数决策粗糙集

考虑到在决策过程中损失函数的不确定性且广义梯形模糊数作为三角模糊数的一种拓展,从贝叶斯理论出发,在三角模糊数决策粗糙集的基础上,将广义梯形模糊数引入三枝决策粗糙集,建立了广义梯形模糊数决策粗糙集并推导了其性质和规则;然后,通过一个协同知识管理项目的例子来阐明模型的具体应用.优势在于不仅将离散模糊集合扩展到连续集合,而且与其它模糊集合相比较具有更好的泛化性.     

基于LR模糊数的广义模糊DEA模型及其求解

在广义DEA模型基础上,建立基于LR模糊数的广义模糊DEA模型.通过引入LR模糊数的加权平均值,计算了待评价决策单元能体现决策者偏好的广义模糊效率和平均广义模糊效率,对待评价决策单元进行有效性排序.最后通过实例分析,表明了该模型的实用性.     

定义在复数上的复模糊值函数

把所有的关于y轴对称的模糊数都定义为零模糊数,则两个相同的模糊数的差为零,利用~ar-+~ar+这样一个数值来描述模糊数的序关系,就可以得到关于纵向对称的模糊数都是等同的.在此基础之上对实模糊数的模糊距离及极限进行了研究.并研究了复模糊数的距离与复模糊数列的极限以及复模糊值函数的极限.将研究的复模糊值函数是定义在复数集C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.在新的序关系意义下讨论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.     

模糊数的四则运算性质及其线性方程

讨论模糊数的加、减、乘、除的运算性质，提出模糊数线性方程的概念，并给出这种方程的一种解法。     

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.     

一般梯形模糊逼近算子及其在模糊运输问题中的应用

研究运输成本信息为一般模糊数的模糊运输问题.首先,在保持一般模糊数的核不变的条件下,建立一般模糊数与一般梯形模糊数的距离最小优化模型,通过求解模型得到一般模糊数的一般梯形模糊逼近算子,并给出该逼近算子具有的性质如数乘不变性、平移不变性、连续性等.然后利用该逼近算子将一般模糊运输信息表转换成一般梯形模糊运输信息表,再根据已有GFLCM和GFMDM算法得到模糊运输问题的近似最优解,最后给出具体算例分析说明方法的有效性和合理性.     

A multi-attribute group decision-making method based on weighted geometric aggregation operators of interval-valued trapezoidal fuzzy numbers

With respect to the multiple attribute group decision making problems in which the attribute values take the form of generalized interval-valued trapezoidal fuzzy numbers (GITFN), this paper proposed a decision making method based on weighted geometric aggregation operators. First, some operational rules, the distance and comparison between two GITFNs are introduced. Second, the generalized interval-valued trapezoidal fuzzy numbers weighted geometric aggregation (GITFNWGA) operator, the generalized interval-valued trapezoidal fuzzy numbers ordered weighted geometric aggregation (GITFNOWGA) operator, and the generalized interval-valued trapezoidal fuzzy numbers hybrid geometric aggregation (GITFNHGA) operator are proposed, and their various properties are investigated. At the same time, the group decision methods based on these operators are also presented. Finally, an illustrate example is given to show the decision-making steps and the effectiveness of this method.     

A new method for solving fuzzy transportation problems using ranking function

In the literature, several methods are proposed for solving transportation problems in fuzzy environment but in all the proposed methods the parameters are represented by normal fuzzy numbers. [S.H. Chen, Operations on fuzzy numbers with function principal, Tamkang Journal of Management Sciences 6 (1985) 13–25] pointed out that in many cases it is not to possible to restrict the membership function to the normal form and proposed the concept of generalized fuzzy numbers. There are several papers in the literature in which generalized fuzzy numbers are used for solving real life problems but to the best of our knowledge, till now no one has used generalized fuzzy numbers for solving the transportation problems. In this paper, a new method is proposed for solving fuzzy transportation problems by assuming that a decision maker is uncertain about the precise values of the transportation cost, availability and demand of the product. In the proposed method transportation cost, availability and demand of the product are represented by generalized trapezoidal fuzzy numbers. To illustrate the proposed method a numerical example is solved and the obtained results are compared with the results of existing methods. Since the proposed method is a direct extension of classical method so the proposed method is very easy to understand and to apply on real life transportation problems for the decision makers.     

梯形模糊数直觉模糊Bonferroni平均算子及其应用

本文研究决策信息为梯形模糊数直觉模糊数(TFNIFN)且属性间存在相互关联的多属性群决策(MAGDM)问题,提出一种基于梯形模糊数直觉模糊加权Bonferroni平均(TFNIFWBM)算子的决策方法.首先,介绍了TFNIFN的概念和运算法则,基于这些运算法则和Bonferroni平均(Bonferroni mean,BM)算子,定义了梯形模糊数直觉模糊Bonferroni平均算子和TFNIFWBM算子.然后,研究了这些算子的一些性质,建立基于TFNIFWBM算子的多属性群决策模型,结合排序方法进行决策.最后,将该方法应用在MAGDM中,算例结果表明了该方法的有效性与可行性.     

K-拟可加模糊数值积分及其收敛性

在K-拟可加模糊测度空间上,针对一类(?)-可积模糊数值函数,建立了所谓的K-拟可加模糊数值积分,并通过引入诱导算子K,获得这种积分的转换定理,进而研究这种K-拟可加模糊数值积分的一些重要性质,同时给出了它的一系列收敛定理,从而丰富了模糊数学的积分理论。     

Multiple criteria decision making method based on normal interval‐valued intuitionistic fuzzy generalized aggregation operator

On the basis of the normal intuitionistic fuzzy numbers (NIFNs), we proposed the normal interval‐valued intuitionistic fuzzy numbers (NIVIFNs) in which the values of the membership and nonmembership were extended to interval numbers. First, the definition, the properties, the score function and accuracy function of the NIVIFNs are briefly introduced, and the operational laws are defined. Second, some aggregation operators based on the NIVIFNs are proposed, such as normal interval‐valued intuitionistic fuzzy weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy ordered weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy hybrid weighted arithmetic averaging operator, normal interval‐valued intuitionistic fuzzy weighted geometric averaging operator, normal interval‐valued intuitionistic fuzzy ordered weighted geometric averaging operator, normal interval‐valued intuitionistic fuzzy hybrid weighted geometric averaging operator, and normal interval‐valued intuitionistic fuzzy generalized weighted averaging operator, normal interval‐valued intuitionistic fuzzy generalized ordered weighted averaging operator, normal interval‐valued intuitionistic fuzzy generalized hybrid weighted averaging operator, and some properties of these operators, such as idempotency, monotonicity, boundedness, commutativity, are studied. Further, an approach to the decision making problems with the NIVIFNs is established. Finally, an illustrative example is given to verify the developed approach and to demonstrate its practicality and effectiveness. © 2015 Wiley Periodicals, Inc. Complexity 21: 277–290, 2016     

Convergence of sequences of fuzzy numbers and fixed point theorems for increasing fuzzy mappings and application

In this paper, we discuss some properties of the convergence of sequences of fuzzy numbers and obtain some fixed point theorems for increasing fuzzy mappings. And as applications, we give two examples. One is about fishery production, which discusses the balance problems between the quantity of catching fish and the increase in the quantity of fish that is produced by the reproduction and growth of fish. Another is about the solvability of the equation of fuzzy numbers.     

三角模糊数直觉模糊PA算子及其应用

针对决策信息为三角模糊数直觉模糊数（TFNIFN）且属性间存在相互关联的多属性群决策（MAGDM）问题,提出了一种基于三角模糊数直觉模糊PA （TFNIFPA）算子的决策方法.首先,基于TFNIFN的运算法则和PA （Power Average）算子,定义了TFNIFPA算子.然后,研究了该算子的一些性质,建立基于TFNIFPA算子的MAGDM模型,结合排序方法进行决策.最后通过MAGDM算例验证了该算子的有效性与可行性.