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Table of Contents
On this book: clustering, multisets, rough sets and fuzzy sets
Part 1: Clustering and Classification
Contributions of Fuzzy Concepts to Data Clustering
Fuzzy Clustering/Co-clustering and Probabilistic Mixture Models-induced Algorithms
Semi-Supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices
Various Types of Objective-Based Rough Clustering
On Some Clustering Algorithms Based on Tolerance
Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition
Consensus-based agglomerative hierarchical clustering
Using a reverse engineering type paradigm in clustering. An evolutionary pro-gramming based approach
On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data
Experiences using Decision Trees for Knowledge Discovery
Part 2: Bags, Fuzzy Bags, and Some Other Fuzzy Extensions
L-fuzzy Bags
A Perspective on Differences between Atanassov?s Intuitionistic Fuzzy Sets and Interval-valued Fuzzy Sets
Part 3: Rough Sets
Attribute Importance Degrees Corresponding to Several Kinds of Attribute Reduction in the Setting of the Classical Rough Sets
A Review on Rough Set-based Interrelationship Mining
Part 4: Fuzzy sets and decision making
OWA Aggregation of Probability Distributions Using the Probabilistic Exceedance Method
A dynamic average value-at-risk portfolio model with fuzzy random variables
Group Decision Making: Consensus Approaches based on Soft Consensus Measures
Construction of capacities from overlap indexes
Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance.
Part 1: Clustering and Classification
Contributions of Fuzzy Concepts to Data Clustering
Fuzzy Clustering/Co-clustering and Probabilistic Mixture Models-induced Algorithms
Semi-Supervised Fuzzy c-Means Algorithms by Revising Dissimilarity/Kernel Matrices
Various Types of Objective-Based Rough Clustering
On Some Clustering Algorithms Based on Tolerance
Robust Clustering Algorithms Employing Fuzzy-Possibilistic Product Partition
Consensus-based agglomerative hierarchical clustering
Using a reverse engineering type paradigm in clustering. An evolutionary pro-gramming based approach
On Hesitant Fuzzy Clustering and Clustering of Hesitant Fuzzy Data
Experiences using Decision Trees for Knowledge Discovery
Part 2: Bags, Fuzzy Bags, and Some Other Fuzzy Extensions
L-fuzzy Bags
A Perspective on Differences between Atanassov?s Intuitionistic Fuzzy Sets and Interval-valued Fuzzy Sets
Part 3: Rough Sets
Attribute Importance Degrees Corresponding to Several Kinds of Attribute Reduction in the Setting of the Classical Rough Sets
A Review on Rough Set-based Interrelationship Mining
Part 4: Fuzzy sets and decision making
OWA Aggregation of Probability Distributions Using the Probabilistic Exceedance Method
A dynamic average value-at-risk portfolio model with fuzzy random variables
Group Decision Making: Consensus Approaches based on Soft Consensus Measures
Construction of capacities from overlap indexes
Clustering alternatives and learning preferences based on decision attitudes and weighted overlap dominance.