Intuitionistic fuzzy sets are basically a generalization of fuzzy sets introduced by K. Atanassov. Intuitionistic fuzzy sets proved to be very useful in dealing vagueness in real world application. And it also been presented by many authors that IFS theory gives more satisfactory result than simple...
1) Fuzzy Normalization 模糊规范化 2) normal fuzzy set 规范模糊集 1. The definition, operations and properties of thenormal fuzzy set; 规范模糊集的定义、运算及性质 3) canonical ambiguity groups 规范模糊组 1. It firstly analyzes the components ofcanonical ambiguity groups,finds all second order am...
18.APPLICATION RESEARCH OF USING FUZZY REGRESSION IN QFD MODELING;模糊回归理论在QFD系统建模中的应用研究 相关短句/例句 normalized fuzzy set归一化模糊集 3)Normalization model归一化模型 1.In ECT,the relationship between the images reconstructed by Tikhonov regularization algorithm based on the different no...
The basic functionality of this package can be summarized in the following image: where the left-hand side are the histograms of the intensities for a set ofunnormalizedimages (from the same scanner with the same protocol!) and the right-hand side are the histograms after (FCM) normalization....
pytorch的torch.nn模块中有几个BN类:nn.BatchNorm1d,nn.BatchNorm2d,nn.BatchNorm3d。 主要参数有: num_features:特征数 eps=1e-05: ϵ \epsilon ϵ,防止分母为0 momentum=0.1:均值和方差滑动平局的动量值 ...
| union isfuzzy=true (CommonSecurityLog | where DeviceVendor == "Fortinet" | extend Dst_Port = tostring(DestinationPort), Dst_IP = DestinationIP, Src_Port = tostring(SourcePort), Src_IP = SourceIP) When playing with this I noticed a 'new' column, "Dst_Port_Int" which I wasn't ...
However, the efficacy of this method depends on the initial choice of the sub-image size. Bogiatzis et al. [13] developed local thresholding techniques based on the criterion of fuzzy inclusions and entropy to evaluate the threshold. However, the size of windows varies from image to image. ...
Most transcendental real numbers cannot be described since the set of transcendental real numbers is not countable, while a picture of one number after another can only show a countable set of numbers. Evidently, at various degrees of knowledge and applications, the idealized framework of ...
2.The method of claim 1, wherein training the neural network to determine the trained values of the set of parameters of the first neural network layer further comprises, for each of the plurality of batches:generating a respective network output for each network input, comprising processing the...
We propose a method for affect analysis of textual input in Japanese supported with Web mining. The method is based on a pragmatic reasoning that emotional... M Ptaszynski,P Dybala,W Shi - 《Journal of Japan Society for Fuzzy Theory & Intelligent Informatics》 被引量: 32发表: 2009年 Identi...