tailieunhanh - Entropy-based intuitionistic fuzzy C-means clustering

Utilizing the advantages of the intuitionistic fuzzy sets and fuzzy sets, which are combined in the proposed method, to overcome some drawbacks of the conventional FCM in handling uncertainties or hesitant and also resolve the fuzziness. Experimental results show that the proposed algorithm is better than the traditional fuzzy clustering algorithms. | Information technology Applied mathematics ENTROPY-BASED INTUITIONISTIC FUZZY C-MEANS CLUSTERING Truong Quoc Hung Nguyen Anh Cuong Nguyen Dinh Dzung Abstract With the rapid development of the uncertain or hesitant and fuzziness datasets an entropy-based intuitionistic fuzzy c-means clustering EIFCM method is proposed based on the intuitionistic fuzzy sets IFS for the clustering problems. Utilizing the advantages of the intuitionistic fuzzy sets and fuzzy sets which are combined in the proposed method to overcome some drawbacks of the conventional FCM in handling uncertainties or hesitant and also resolve the fuzziness. Experimental results show that the proposed algorithm is better than the traditional fuzzy clustering algorithms. Keywords Fuzzy sets Intuitionistic fuzzy sets Intuitionistic Fuzzy c-means clustering Entropy-Based intuitionistic. 1. INTRODUCTION Clustering technique is applied in many fields such as data mining pattern recognition image processing etc. It is used to detect any structures or patterns in the data set in which objects within the cluster level data show certain similarities. Clustering algorithms have different shapes from simple clustering as k-means and various improvements 1 2 3 4 development of a family of fuzzy c-mean clustering FCM 7 . With the framework of fuzzy theory fuzzy techniques are suitable for the development of new clustering algorithms because they are able to remove vagueness imprecision in the data 8 . Recently the intuitionistic fuzzy set IFS was introduced 9 and used for representing the hesitance of an expert on determining the membership functions and the non-membership functions. This capability has created a different research direction to handle the uncertainty based on IFS 15 . IFSs also have been recently used for the clustering problem 16 . In 10 the incomplete nutrient-deficient crop images with missing pixels is segmented by an intuitionistic fuzzy clustering algorithm with good results. An other .

• Toán học
• Fuzzy sets
• Intuitionistic fuzzy sets
• Fuzzy c means clustering
• Entropy Based intuitionistic
• Fuzzy clustering algorithms
• Clustering technique
• Picture fuzzy set
• Dissimilarity measure
• Multi criteria decision making
• Fuzzy comprehensive evaluation
• L fuzzy topology
• Qα compactness
• L fuzzy C closed set
• L fuzzy C continuous mappings
• L fuzzy net
• L fuzzy ideal
• C convergence
• Convex combination
• Landmark paper
• Convex fuzzy sets
• Decision making Jordan
• Jordan and fuzzy set
• Big data governance
• Fuzzy sets approach
• Decision making effectiveness
• Visual interpretation
• Target objects via intuitionistic fuzzy hesitant sets
• Intuitionistic fuzzy set
• Visual enhancement
• State of the art methods
• Time Variant Fuzzy Relationship Groups
• Hybrid fuzzy
• Particle swam optimization
• Journal of Computer Science and Cybernetics
• Picture fuzzy sets
• Picture fuzzy t norms
• Picture fuzzy t conorm
• De Morgan picture operator triple
• Pythagorean picture fuzzy set
• Picture fuzzy logic
• Pythagorean picture relation
• Devoted to main operators
• Information Science
• Rough fuzzy rule interpolation
• Fuzzy rule interpolation
• Rough fuzzy sets
• Transformation based interpolation
• Tạo chí Tin học
• Điều khiển học
• Some operations
• Type 2 intuitionistic fuzzy sets
• Tập mờ trực cảm
• Tập mờ loại hai
• Rough Set theory
• Fuzzy rough sets
• Granular computing
• Imbalanced data
• Instance selection
• Fuzzy finite element
• Fuzzy sets theory
• Possibility probability transformations
• Response surface method
• Stochastic finite element
• Surrogate model
• Khoa học máy tính
• Tạp chí khoa học
• Spatial clustering
• Fuzzy clustering
• Distributed clustering
• Weather nowcasting
• Spatio temporal regression
• Fuzzy Logic
• Ecological Applications
• Qualitative Reasoning
• Demonstrations
• Genetic Algorithms
• Picture fuzzy
• Water reuse
• Assessment involves analyzing
• BMC Bioinformatics
• RNA Seq
• Differential expression
• Possibilistic modeling
• Fuzzy distances
• Incremental algorithms
• Decision tables
• Attribute reduction
• Epithelial cells
• Dendritic cells
• Gene sets
• Influenza infections
• Gene gene mutual information
• Overlapping gene sets
• báo cáo khoa học
• báo cáo hóa học
• công trình nghiên cứu về hóa học
• tài liệu về hóa học
• cách trình bày báo cáo
• Smoothly connected property
• Inventory models
• Ramp type demands
• Uncertainty modelling
• Artificial immune system
• Immune system approach
• Transportation phenomenon characterized
• Choice model
• Random utility theory
• Uncertainty treatment
• Possibility theory
• International journal of computer science & communication networks
• Managing non cooperative behavior
• in Large scale group decision making
• Hesitant Fuzzy Sets
• The expert’s preferences
• Group decision making