研究了一种基于模糊概念相似度的模糊本体构建方法。对目标数据源进行模糊形式概念分析,构建模糊概念格,利用基于模糊概念相似度的概念聚类算法产生模糊概念聚类,并最终映射得到模糊本体。该方法对模糊概念的内涵及外延的相似度进行了全面的度量,并加入权重因子增强模糊聚类的可调节性。最后通过实例验证了该方法的可行性和有效性。

This paper researches a construction method of fuzzy ontology based on the fuzzy concept similarity. Firstly, the paper gives fuzzy formal concept analysis of the target data source to build a fuzzy concept lattice, then generates the fuzzy concept cluster with the concept cluster algorithm which based on the fuzzy conceptual similarity, and finally mapping to get the fuzzy ontology. This method has a comprehensive measure of the fuzzy concept similarity of connotation and denotation, and adding the weight factor to enhanced the fuzzy clustering adjustability. At last, the examples demonstrate the feasibility and effectiveness of the method.

构建了区间犹豫模糊三角相似度公式，并且研究了区间犹豫模糊环境下属性权重信息完全未知的多属性群决策方法。首先基于正弦三角函数构造了区间犹豫模糊三角相似度公式，并证明其满足区间犹豫模糊相似度公理化定义的四个条件；接着给出了区间犹豫模糊交叉熵的公理性定义，同时研究了区间犹豫模糊相似度和区间犹豫模糊交叉熵的关系；最后基于区间犹豫模糊三角相似度，提出了在属性权重信息完全未知条件下的区间犹豫模糊多属性群决策方法，并用实例验证该方法的可行性和有效性。

Interval-valued hesitant fuzzy triangle similarity is constructed, and investigate the multi-attribute group decision making method with attribute weight information is completely unknown under the interval-valued hesitant fuzzy environ-ment. Based on the sine triangle function, the interval-valued hesitant fuzzy triangle similarity formula is developed, and it proves that the interval-valued hesitant fuzzy triangle similarity satisfies four axiomatic requirements of interval-valued hesitant fuzzy similarity. The axiomatic definition of cross-entropy for interval-valued hesitant fuzzy sets is presented, and the relationships between interval-valued hesitant fuzzy similarity measures and interval-valued hesitant fuzzy cross-entropy is studied. According to the interval-valued hesitant fuzzy triangle similarity, a new method for interval-valued hesitant fuzzy multi-attribute group decision making problems with completely unknown attribute weight information is proposed, and an

根据图像二维结构张量的特性和清晰图像及其模糊副本之间存在较大差异的特点,构造单幅图像的三维结构张量,其特征值大小反映了图像的局部几何结构信息,并与图像的清晰度有关,据此提出基于三维结构张量的图像模糊度评价方法。对输入图像进行不同尺度的低通滤波,得到输入图像的2个副本,并将其分成互不重叠的块。通过计算各块的三维结构张量得到模糊度参数,将各块的模糊度参数和关注度系数加权得到整幅图像的模糊度参数,以模糊度参数的指数函数形式计算图像的模糊度。实验结果表明,该方法计算出的模糊度相对于图像的模糊程度是单调的,具有良好的抗噪性,并且符合人眼视觉系统特性。

Theoretical and experimental studies have shown that the 2D tensor of an image can characterize the local structure and there is a high difference between a sharp image and its blurred version. Based on these studies, a novel 3D structure tensor representation of a single image is proposed, whose eigenvalues can characterize the local geometry structure and have a close relationship with image quality, and then a new blur degree assessment method is proposed. The flow chart of the proposed method blurs the input image with a weak and strong low-pass filters firstly, and divides the input image into no overlapped patches, then computes eigenvalues of the 3D structure tensor and blur measuring parameter of each block, finally computes the blur degree of an image by the exponential function of the blur measuring parameters and visual attention weights of each patch. Experimental results show that the proposed method is monotonic, robust to additive noises, and also consistent with human v

基于静强度模糊-载荷随机模型，确定密封螺栓静强度在不同工况的模糊许用可靠度，探讨按模糊许用可靠度确定安全系数的方法。研究结果表明：1）密封螺栓在液压试验、气压试验和正常操作工况时，屈服强度的模糊许用可靠度分别为0．98314、0．99854和0．99854，抗拉强度的模糊许用可靠度分别为0．999984、0．999999934和0．999999934；2）基于满足模糊许用可靠度，密封螺栓屈服安全系数应不小于1．70，抗拉安全系数应不小于2．15。

Based on model of static strength-fuzzy and load-stochastic,under different conditions ,the fuzzy allowable reliability of seal bolt static strength was determine ,the relationship between safety factor and fuzzy allowable reliability was explored .The re-searching results show that:1)For seal bolt,in hydraulic pressure tests,gas pressure tests and during normal operation conditions , yield strength fuzzy allowable reliability is equal to 0.983 14,0.998 54 and 0.998 54,respectively;tensile strength fuzzy allowa-ble reliability is equal to 0.999 984,0.999 999 934 and 0.999 999 934,respectively.2) Based on meeting the fuzzy allowable reliability,for seal bolt,yield safety factor should be not less than 1.70 and tensile safety factor should be not less than 2.15.

载波相位测量的相对精度目前可以达毫米级，其周期性造成了模糊度无法确知，必须对其进行解算。传统的模糊度解算方法精度虽然较高但耗时，无法满足实时动态定位；附有几何约束算法的定位速度虽然较高，但由于基线先验信息的误差导致可靠性不高。提出了一种模糊度的解算方法，通过对基线向量的约束提高模糊度解算速度，该算法即使在先验信息出现一定误差的情况下，依然能较准确地估算模糊度，从而保证模糊度解算结果的可靠性。仿真结果表明：该算法能有效地提高整周模糊度解算效率，并且具有一定的容错力，适合于动态定位。

The relative precision of carrier phase measurement can reach millimeter, but its periodicity causes the uncer-tainty of its ambiguity, so it is necessary to calculate its ambiguity. The traditional calculating method is highly precise but time-consuming which can not satisfy dynamic positioning. The geometric constraint algorithm has relatively high posi-tioning speed, but due to the error of baseline apriori information, it is less reliable. Accordingly, a new ambiguity calculat-ing method is proposed in this paper, which can increase the calculating speed through the baseline vector constraints, and even with the error of apriori information, assure the reliability. Simulation results show the method can effectively increase the calculating efficiency, is fault-tolerant and is suitable for dynamic positioning.