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Intuitionistic fuzzy numbers; operation laws; intuitionistic fuzzy weighted arithmetric averaging operator; incomplete weight

直觉模糊数;运算法则;直觉模糊数加权算术平均算子;不完全权重

We utilize the interval-valued intuitionistic fuzzy weighted arithmetic averaging operator to aggregate the interval-valued intuitionistic fuzzy information corresponding to each alternative, and then rank the alternatives and select the most desirable one according to the score function and accuracy function.

然后对权重信息未知的区间直觉模糊数的多属性决策方法进行了研究,给出了一个基于最大偏差的目标规划模型,从而获得相应的属性权重,基于IIWAA算子对区间直觉模糊数信息进行集结,进而根据得分函数和精确函数对方案进行排序。

Based on these operational laws, some aggregation operators, including pure interval-valued intuitionistic fuzzy weighted arithmetric averaging operator and pure interval-valued intuitionistic fuzzy ordered weighted averaging operator, are proposed.

论文摘要:对纯区间直觉模糊信息的集结算子进行了进一步研究,引入了区间直觉模糊数的一些运算法则、区间直觉模糊数的得分函数和精确函数,并基于这些运算法则,提出了一些新算子:纯区间直觉模糊数加权算术平均算子和纯区间直觉模糊数有序加权平均算子。

By using the stator currents and back electromotive force as state variables,a T-S fuzzy model and a set of fuzzy rules were firstly transformed to represent the PMSM.

选择全局模糊滑模函数,采用自适应技术对不确定性上界进行估计,所设计全局控制器由T-S模糊局部补偿器与滑模监督控制器构成,给出了自适应律及稳定性的证明。

Narrated the development of the fuzzy control technology, and the basal theory of fuzzy control, and its working principle.

主要介绍了模糊控制技术的发展、模糊控制的理论基础和模糊控制的基本工作原理等。

One of the basic problems in the field of fuzzy control is to find out how many rules are necessary to get a good fuzzy controller.

一个好的模糊控制器需要多少条规则,这是模糊控制领域中的一个基本问题。

By making use of the theory and method of fuzzy sets, in this paper, a general novel fuzzification method based on fuzzy programming is brought forward for batching production processes.

应用模糊集合论的方法,在现存的模糊规划模型的基础上,针对间歇过程,提出了一种新颖的通用模糊建模的方法。

The sequential Cireut model with fuzzy border is set up on the bases of Boolean defferetial and fuzzy border set.

在布尔微分及乏晰边沿集合两个基础上,建立了乏晰边沿的时序电路模型。

It shows that all properties of fuzzy number and fuzzy-valued function which relating to distance can be obtained by this family of standard bounded monotone function.

进而,模糊数空间和模糊值函数空间上的与距离相关的所有性质都可以在一类单调函数类上得到。

These theorems shows that there always exists a mathematical relation (that is, a bounded real function)between the premises and the conclusion for fuzzy reasoning, and in fact various algorithms of fuzzy reasoning are specific forms of this function.

结果表明在各种模糊推理模式中,前提与结论之间存在一个数学关系,模糊推理的各种算法都是这一函数的不同构造形式。

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