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The results show that the surface roughness decreases with increase of the inclination angles within the range of 10° to 30°. After the angle approaches to 30°, increase of the inclination angle causes increase of the surface roughness. Furthermore, the effect of inclination angles on cutting speed was investigated.

研究结果表明:工件倾角的大小对已加工表面粗糙度有明显的影响,在倾角为10°~30°时,表面粗糙度随着工件倾角的增大而降低;此后,随着倾角的进一步增加,表面粗糙度有所升高。

It was also observed that the rougher asperities damaged gradually by shearing and wearing in small region and the surface in contact increases with the increasing of normal stress and shear displacement.

因此,对任一条不规则的节理粗糙线,可以通过非平稳部分的正倾角或负倾角和平稳部分的平均粗糙角的结合来定量描述其表面粗糙度。

The application of rough set theory in incomplete information systems is one of the key problems to study rough set theory in practice. However, it is difficult for classical rough set theory to deal with those incomplete information systems.

粗糙集理论在不完备信息系统中的应用,是将粗糙集理论进一步推向实用的关键之一,而经典的粗糙集理论对不完备信息系统的处理显得束手无策。

Main topics of this dissertation are as follows:(1) In this paper, we re-interpreted the basic concept of classical rough set theory based on VPRS, we also analyse the features and process of the application of rough set theory in data mining and pointed out the direction of the research.

本文的主要工作包括:(1)在可变精度粗糙集理论下对经典粗糙集的概念进行了重新的诠释;分析了粗糙集理论在数据挖掘应用中的理论根据和基本原理,并点出了研究的方向。

Experiments show that the improve coarseness has higher texture discriminability and better rotation invariance, and that the image retrieval result based on the improved coarseness is superior to that based on the previous coarseness.

实验表明,改进纹理粗糙度具有更强的纹理分辨能力和更好的旋转不变性,基于改进纹理粗糙度的图像检索结果优于基于原有纹理粗糙度的图像检索结果。

It was applied to model and predict the variables of the mycetozoan fed-batch process. The result has shown that the structure of this kind of neural network model is simple, explicable and the convergent speed is much quicker.

为此,结合模糊粗糙集和智能控制的理论,充分利用模糊粗糙集和神经网络两者的优点,提出了一种新型的网络—模糊粗糙神经网络实现对发酵过程的建模和状态估计。

This paper presents a novel rough set model based on concordance relation, according to which the objects are less indiscernible and tolerant on the basis of classical and torlerant rough sets.

在传统的粗糙集模型和相容粗糙集模型基础上,通过松弛对象之间的不可分辨和相容性条件,给出了一种新的基于和谐关系的粗糙集模型。

Based on the analysis of existed fuzzy integral theories, the notions of the Choquet upper and lower fuzzy integral and rough interval numbers' integral form were proposed; the rough properties of Choquet fuzzy integral and an information fusion method based on rough Choquet fuzzy integral were given.

在分析现有模糊积分理论的基础上,提出了Choquet上、下模糊积分的概念和粗糙区间数的积分形式,给出了Choquet模糊积分的粗糙特性,建立了基于粗糙Choquet模糊积分形式和信息融合方法。

However, the emissivity is affected by many factors, such as roughness. Simulation results for surfaces with different roughnesses are compared. It is found that the effects of roughness on the bidirectional reflectance distribution function and normal emissivity are significant.

在实际应用中,物体的发射率受到很多因素的影响,粗糙度就是其中之一,通过比较不同粗糙表面的计算结果,发现粗糙度对二向反射分布函数和法向发射率的影响不可忽略。

In this case, a decision analysis method based on extension of rough set theory is proposed .This method replaces indiscernibility relation in original rough set theory with the "indiscernibility-similarity-dominance" relation and obtains rough approximation of knowledge, it will not only be able to resolve the aboved-mentioned problems but also deal with inconsistence in decision table.

针对这种情况,给出一种基于扩展粗糙集的决策分析方法,该方法使用&不可区分-相似-优势&关系代替经典粗糙集中的不可区分关系来获取知识的粗糙近似,不但能够解决上述问题而且还能处理决策表中可能存在的不一致现象。

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