[PDF] Top 20 REGULARIZATION BASED FUZZY GRAPH
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REGULARIZATION BASED FUZZY GRAPH
... regular fuzzy graphs, total degree and total regular fuzzy ...of regularization based fuzzy graph and to obtain some result related to regular fuzzy graph and total ... See full document
8
A Fuzzy Graph-based Heuristic Algorithm of Possibilistic Clustering
... the fuzzy objective function-based approach to clustering and values of the membership function of a possibilistic partition can be considered as typicality ...the fuzzy approach. Objective ... See full document
11
International Journal of Scientific Research and Reviews The Rank of A Fuzzy Magic Graphs With Adjacency Matrix
... A fuzzy set is defined mathematically by assigning a value to each possible individual in the universe of discourse, representing its grade of membership which corresponds to the degree to which that individually ... See full document
8
The Rank of A Fuzzy Magic Graphs With Adjacency Matrix
... A fuzzy set is defined mathematically by assigning a value to each possible individual in the universe of discourse, representing its grade of membership which corresponds to the degree to which that individually ... See full document
8
Operations on Intuitionistic Fuzzy Hypergraphs
... a graph in which an edge can connect more than two ...to fuzzy hypergraph . In this paper, we extend the concepts of fuzzy hypergraphs into that of intuitionistic fuzzy ...hypergraphs. ... See full document
9
Robust Fuzzy Content Based Regularization Technique in Super Resolution Imaging
... The regularization term γ , controls the qualitative characteristics such as smoothness of the HR ...global regularization function Ψ , eeps the global integrity of the ...the fuzzy contents of the ... See full document
9
High-dimensional Covariance Estimation Based On Gaussian Graphical Models
... estimation based on a directed acyclic ...of regularization functions. It is important to note that directed graph estimation requires a fixed good ordering of the variables a ... See full document
52
Fuzzy Neural Networks based on Fuzzy Logic Neurons Regularized by Resampling Techniques and Regularization Theory for Regression Problems
... networks based on fuzzy logic neurons ...between fuzzy sets theory, as a mechanism for knowledge representation and information compaction, and neural ...of fuzzy rules can be extracted from ... See full document
20
An Emphasizing Approach based on Enhanced Intuitionistic Fuzzy Logic Segmentation on Objects in Video Sequences
... a graph and a subgraph of another larger graph, then the problem is called subgraph ...be graph isomorphism between viewed RAGs of a single ... See full document
5
FUZZY BASED GRAPH CUT CLASSIFICATION OF HYPER-SPECTRAL IMAGE
... the graph cut technique we can easily and efficiently solve a wide variety of low-level computer vision problems, such as image smoothing and many other computer vision problems and the stereo correspondence ... See full document
6
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples
... purely graph-based approaches that have been considered in the last few ...Such graph-based approaches work in a transductive setting and do not naturally extend to the semi-supervised case ... See full document
36
On Edge Regular Fuzzy Soft Graphs
... of fuzzy sets, theory of intuitionistic fuzzy sets, theory of rough sets, ...of fuzzy sets, developed by Zadeh[9] in ...intuitionistic fuzzy set is more generalized concept than the theory of ... See full document
11
Fuzzy autocatalytic set of fuzzy graph type-3 based on functional analysis theory
... a fuzzy normed cycle space of FACS that will be presented in this ...a fuzzy norm in a fuzzy graph theory setting is established and interpreted the catalytic chain reaction between two cycles ... See full document
35
A Study on Multi Fuzzy Graph
... Multi fuzzy graph is a generalized form of fuzzy graph that is fuzzy graph is a particular case of multi fuzzy ...multi fuzzy regular, multi fuzzy totally ... See full document
14
EFFICIENT REQUIREMENT PRIORITIZATION BASED ON ENHANCED MULTI VERSE OPTIMIZER
... approach, regularization technique and cluster ...the regularization context, as well as in a low-rank presentation of the matrix to decrease the demanded memory and computation ... See full document
13
Strong Fuzzy Chromatic Polynomial (SFCP) of Fuzzy Graphs and Some Fuzzy Graph Structures with Applications
... In fuzzy graph theory, strong arcs have separate ...the fuzzy graph is strong ...strong fuzzy chromatic polynomial (SFCP) of a fuzzy graph based on strong ...a ... See full document
10
Sentiment Classification with Graph Co Regularization
... Based on Theorem 3.1, we note that the multiplicative update rules given by equations (8)∼(10) are obtained by extending the updates of standard NMTF (Ding et al., 2006). A number of techniques can be used here to ... See full document
10
Collective Tweet Wikification based on Semi supervised Graph Regularization
... semi-supervised graph regularization framework for wikification to si- multaneously tackle the unique challenges of an- notation and information shortage in short ... See full document
11
Graph Based Posterior Regularization for Semi Supervised Structured Prediction
... To do so, we build on the posterior regulariza- tion (PR) framework of Ganchev et al. (2010). PR is a principled means of providing weak super- vision during structured model estimation. More concretely, PR introduces a ... See full document
9
Matrix Representations of Intuitionistic Fuzzy Graphs
... of fuzzy graph was introduced by Kaufman[12] in 1973, based on Zadeh’s fuzzy relations in ...intuitonistic fuzzy(IF) relations and intuitionistic fuzzy ...intuitionistic ... See full document
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