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...
2) 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 normalization models and the two-phrase flow patterns and phase concentrations,was investigated. 电容层析成像...
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 raw data set is firstly preprocessed by principle component analysis (PCA), and then its principle components are weighted by their corresponding eigenvalues. Several aspects of analysis are carried out to analyze its theory and the applicable occasions. Three classification problems are launched ...
The validation set was used for testing both the performance and the generalization ability of the proposed GAN. The breakup of the dataset between the different skin lesions is shown in Table 2. Table 2. Dataset used to develop the GCC-GAN. AKIEC: Actinic keratoses, BCC: basal cell ...
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 ...
(PCA)to obtain well-enhanced images,and then segmenting the region of interest using the Fuzzy C-Means(FCM)clustering technique in the third step.The final step involves classification using the Support Vector Machine(SVM)classifier.The classifier is applied to various types of brain tumors,such ...
gensim (>=3.8.0): processing of the word embedding model (Word2Vec) jellyfish (>=0.7.2): fuzzy string matching including different algorithms progressbar (>=2.5): progress visualization for text processing spacy (>=2.2.2): NLP including language support for Luxembourgish scikit-learn (>=...
of each layer $g : \textbf{h}_{in} \rightarrow \textbf{h}_{out}$. The Lipschitz norm $\Vert{g}\Vert_{\text{Lip}}$ is equal to $\sup_{\textbf{h}}\sigma\left(\nabla{g}\left(\textbf{h}\right)\right)$, where $\sigma\left(a\right)$ is the spectral norm of the matrix ...
With the development of information and communication technology, geographic information is undergoing a great transformation, from single static to multi-source dynamic, from precise structure to fuzzy heterogeneity. In order to achieve a geographic knowledge service system for the public, geographic ...