基于模糊综合评价法的物流配送中心的选址问题

从给定的多个地址中，选择一个最佳地点作为物流中心的建设地，是物流选址中的一个常见问题。结合模糊加权平均值法和模糊期望值法，综合考虑经济性、及时性、安全性三方面因素，从而确定一个最佳物流中心建设点。最后用一个算例进一步地说明分析。

Robust edge detection based on stationary wavelet transform

By combining multiscale stationary wavelet analysis with fuzzy c-means, a robust edge detection algorithm is presented. Based on the translation invafiance built in multiscale stationary wavelet transform, components in different transformed sub-images corresponding to a pixel are employed to form a feature vector of the pixel. All the feature vectors are classified with unsupervised fuzzy c-means to segment the image, and then the edge pixels are checked out by the Canny detector. A series of images contaminated with different intensive Gaussian noises are used to test the novel algorithm. Experiments show that fairly precise edges can be checked out robustly from those images with fairly intensive noise by the proposed algorithm.

基于WLSM和FWGM的地铁车门故障危害性评估研究

车门系统作为乘客上下地铁列车的通道,其可靠性直接关系到乘客的人身安全。为评估车门故障的危害,提出一种基于加权最小二乘法WLSM和模糊加权几何平均值FWGM的危害性评估方法。首先,利用WLSM将故障模式风险因子的所有个人决策整合,得出团队评价决策。然后,通过FWGM定义模糊风险优先数FRPN并应用线性规划模型计算其α水平集。最后,利用质心法去模糊化得出FRPN的明确值,并通过FRPN明确值的排序找出车门危害性较大的故障模式,为车门系统可靠性的提高提供技术支持。