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fuzzy theory相关的网络例句

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与 fuzzy theory 相关的网络例句 [注:此内容来源于网络,仅供参考]

A fuzzy conditional expectation with respect to sub σ-algebra of for a fuzzy random variable is introduced in the complete probability space, and the fact that such a fuzzy conditional expectation exists uniquely is proved and its some properities are discussed.

在完备的概率空间中引进一个模糊随机变量关于■的一个子σ代数■的模糊条件期望,并证明这样定义的模糊条件期望存在且唯一,还就其某些性质作了讨论。

Based on the normal fuzzy number, fuzzy operator and fuzzy conditional probability, normalization algorithm is proposed in this paper.

研究表明:模糊因果图能有效地用于故障分析,比原来的因果图方法具有更大的灵活性和适应性。

In anti-fuzzy number space, the conjugate mapping of convex fuzzy mapping is concerned, and convexities of conjugate set and conjugate mapping of convex fuzzy mapping are proved.

在研究模糊向量空间、模糊凸集和模糊凸映射的基础上,我们研究了模糊规划的Lagrange对偶和凸模糊规划的KKT条件,并将有关结果应用到模糊线性规划和模糊二次规划的研究中。

Similarly, we discuss the relation between fundamental convergence in fuzzy measure and fuzzy mean fundamental convergence of fuzzy integrals.

类似地,还讨论了"依测度基本"与"广义模糊积分平均基本"的关系。

On the other hand, we also give several terse sufficiency conditions where the fuzzy mean convergence of fuzzy integrals implies the convergence in fuzzy measure and making them equivalent.

另一方面,文中还给出了广义模糊积分平均收敛蕴涵依测度收敛的几个简洁的充分性条件,以及使两者等价的条件。

Furthermore, as its corollary, we still get several terse and pragmatic sufficiency conditions where the convergence in fuzzy measure implies the fuzzy mean convergence of fuzzy integrals.

作为这一结果的推论,还得到了依测度收敛蕴涵广义模糊积分平均收敛的几个简洁、实用的充分性条件。

A method of building the fuzzy model with constant-value consequence for MIMO complex processes is presented by means of the iterative learning algorithm of fuzzy model consequent parameters, and the convergence of the iterative learning algorithm is proved according to the convergent theorem of bounded positive-term series, moreover, the effectiveness of the presented fuzzy modeling method is also demonstrated by a simulation example.

深入讨论了常值后件模糊规则模型与映射的关系,并证明这种模糊模型所表示的模糊系统具有在紧集上逼近任意实值连续函数到任意精度的能力,为将这种模糊模型用于复杂过程的建模和控制作了一些理论准备。

Chapter 5 is devoted the study of fuzzy optimization in fuzzy convex analysis structure given in chapter 4. We consider the problems of minimizing and maximizing a convex fuzzy mapping over a convex set and develop necessary and/or sufficient optimality conditions.

在第5章中,首先,在第4章所建立模糊凸分析的结构基础上,考虑了凸模糊映射的极值问题,得到了凸模糊映射取得极值的充分/必要条件。

The author illustrates in this article the properties of fuzzy convex cone based on the fuzzy normed space;furthermore, testifies the two relevant propositions in the fuzzy normed space.

在模糊赋范空间的背景上,得到了模糊凸锥的若干性质,同时,还给出了模糊赋范空间中两个相关命题的证明。

Along with the development of convex fuzzy set, people investigate the convexity of fuzzy mapping on convex sets and its application in fuzzy programming .

随着凸模糊集研究的深入与发展,人们讨论了模糊映射在凸集上的凸性及其在模糊规划中的应用。

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