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Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining

https://doi.org/10.1007/b138232
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Single Criterion Net Flow Using Concordance and Discordance Relations
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An analysis of symbolic linguistic computing models in decision making
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Forecasting the demand for tourism using combinations of forecasts by neural network-based interval grey prediction models
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Computing with Words in Decision support Systems: An overview on Models and Applications
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Reducing the Complexity of Genetic Fuzzy Classifiers in Highly-Dimensional Classification Problems
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Genetic lateral tuning for subgroup discovery with fuzzy rules using the algorithm NMEEF-SD
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Extended 2-tuple linguistic hybrid aggregation operators and their application to multi-attribute group decision making
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A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules
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Rider Chicken Optimization Algorithm-Based Recurrent Neural Network for Big Data Classification in Spark Architecture
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Pattern classification using grey tolerance rough sets
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Grey prediction with residual modification using functional-link net and its application to energy demand forecasting
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A Two-Phase Development of Fuzzy Rule-Based Model and Their Analysis
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Evolving Mamdani Fuzzy Rules Using Swarm Algorithms for Accurate Data Classification
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A Bibliometric Statistical Analysis of the Fuzzy Inference System - based Classifiers
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Rotation effects of objective functions in parallel distributed multiobjective fuzzy genetics-based machine learning
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A Proposal for Tuning the Alpha Parameter in a Copula Function Applied in Fuzzy Rule-Based Classification Systems
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A Multiobjective Genetic Approach with TOPSIS to Learn Fuzzy Rule-Based Classification Systems
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Ensemble classifier design by parallel distributed implementation of genetic fuzzy rule selection for large data sets
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GPF-CLASS: A Genetic Fuzzy model for classification
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Evolutionary undersampling for imbalanced big data classification
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Effects of heuristic rule generation from multiple patterns in multiobjective fuzzy genetics-based machine learning
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Hesitant Fuzzy Linguistic Term Set Based Document Classification
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Intellectual Approach to the Design of Fuzzy Systems Based on Multi-objective Evolutionary Modeling
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Evolutionary Multiobjective Design of Fuzzy Rule-Based Systems
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Multi-class wine grades predictions with hierarchical support vector machines
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Granular computing in wineinformatics
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Effect of aggregation functions on the habitat preference modelling using a genetic Takagi-Sugeno fuzzy system
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Multi-objective evolutionary rule and condition selection for designing fuzzy rule-based classifiers
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Genetic fuzzy rule-based classification systems for tissue characterization of intravascular ultrasound images
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Proposal of fuzzy coverage region classifier as an extension of the naive Bayes classifier and improvement of its zero-one loss
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Random oracles fuzzy rule-based multiclassifiers for high complexity datasets
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A new fingram-based software tool for visual representation and analysis of fuzzy association rules
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Rule weight update in parallel distributed fuzzy genetics-based machine learning with data rotation
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Use of cumulative information estimations for risk assessment of heart failure patients
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On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data
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Data-based fuzzy rules extraction method for classification
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Embedding evolutionary multiobjective optimization into fuzzy linguistic combination method for fuzzy rule-based classifier ensembles
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Hybrid fuzzy genetics-based machine learning with entropy-based inhomogeneous interval discretization
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On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm
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A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information
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Pre-aggregation functions: Definition, properties and construction methods
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Optimization of Chi-FRBCS-BigDataCS Fuzzy Rule-Based Classification System
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Multiobjective fuzzy genetics-based machine learning with a reject option
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A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification
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Using multi-granular fuzzy linguistic modelling methods for supervised classification learning purposes
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Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems
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A global distributed approach to the Chi et al. fuzzy rule-based classification system for big data classification problems
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Analyzing the behavior of a CC-integral in a Fuzzy Rule-Based Classification System
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Multiobjective fuzzy genetics-based machine learning based on MOEA/D with its modifications
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