A method for inference in approximate reasoning based on interval-valued fuzzy sets
Fuzzy Sets and Systems
Machine Learning
Fuzzy Control of HVAC Systems Optimized by Genetic Algorithms
Applied Intelligence
Classification and Modeling with Linguistic Information Granules: Advanced Approaches to Linguistic Data Mining (Advanced Information Processing)
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on soft computing for information mining
Statistical Comparisons of Classifiers over Multiple Data Sets
The Journal of Machine Learning Research
Uncertainty measures for interval type-2 fuzzy sets
Information Sciences: an International Journal
A hybrid fuzzy adaptive sampling - Run rules for Shewhart control charts
Information Sciences: an International Journal
KEEL: a software tool to assess evolutionary algorithms for data mining problems
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special Issue on Evolutionary and Metaheuristics based Data Mining (EMBDM); Guest Editors: José A. Gámez, María J. del Jesús, José M. Puerta
International Journal of Approximate Reasoning
Parallel distributed genetic fuzzy rule selection
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Genetic Fuzzy Systems: Recent Developments and Future Directions; Guest editors: Jorge Casillas, Brian Carse
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Soft Computing - A Fusion of Foundations, Methodologies and Applications
Efficient triangular type-2 fuzzy logic systems
International Journal of Approximate Reasoning
Information Sciences: an International Journal
International Journal of Approximate Reasoning
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems
Applied Intelligence
A proposal on reasoning methods in fuzzy rule-based classification systems
International Journal of Approximate Reasoning
Information Sciences: an International Journal
Expert Systems with Applications: An International Journal
Information Sciences: an International Journal
An Interval Type-2 Fuzzy multiple echelon supply chain model
Knowledge-Based Systems
Decision making with imprecise parameters
International Journal of Approximate Reasoning
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning
Hybridization of fuzzy GBML approaches for pattern classification problems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Interval type-2 fuzzy logic systems: theory and design
IEEE Transactions on Fuzzy Systems
A 2-tuple fuzzy linguistic representation model for computing with words
IEEE Transactions on Fuzzy Systems
Effect of rule weights in fuzzy rule-based classification systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Rule Weight Specification in Fuzzy Rule-Based Classification Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
International Journal of Approximate Reasoning
A class of fuzzy multisets with a fixed number of memberships
Information Sciences: an International Journal
An alternative to fuzzy methods in decision-making problems
Expert Systems with Applications: An International Journal
An interval type-2 fuzzy logic system for the modeling and prediction of financial applications
AIS'12 Proceedings of the Third international conference on Autonomous and Intelligent Systems
A genetic design of linguistic terms for fuzzy rule based classifiers
International Journal of Approximate Reasoning
A 2uFunction representation for non-uniform type-2 fuzzy sets: Theory and design
International Journal of Approximate Reasoning
Uncertainties with Atanassov's intuitionistic fuzzy sets: Fuzziness and lack of knowledge
Information Sciences: an International Journal
A hierarchical approach to multi-class fuzzy classifiers
Expert Systems with Applications: An International Journal
Atanassov's intuitionistic fuzzy probability and Markov chains
Knowledge-Based Systems
Generation of linear orders for intervals by means of aggregation functions
Fuzzy Sets and Systems
A closed form type reduction method for piecewise linear interval type-2 fuzzy sets
International Journal of Approximate Reasoning
Information Sciences: an International Journal
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Fuzzy Rule-Based Systems are appropriate tools to deal with classification problems due to their good properties. However, they can suffer a lack of system accuracy as a result of the uncertainty inherent in the definition of the membership functions and the limitation of the homogeneous distribution of the linguistic labels. The aim of the paper is to improve the performance of Fuzzy Rule-Based Classification Systems by means of the Theory of Interval-Valued Fuzzy Sets and a post-processing genetic tuning step. In order to build the Interval-Valued Fuzzy Sets we define a new function called weak ignorance for modeling the uncertainty associated with the definition of the membership functions. Next, we adapt the fuzzy partitions to the problem in an optimal way through a cooperative evolutionary tuning in which we handle both the degree of ignorance and the lateral position (based on the 2-tuples fuzzy linguistic representation) of the linguistic labels. The experimental study is carried out over a large collection of data-sets and it is supported by a statistical analysis. Our results show empirically that the use of our methodology outperforms the initial Fuzzy Rule-Based Classification System. The application of our cooperative tuning enhances the results provided by the use of the isolated tuning approaches and also improves the behavior of the genetic tuning based on the 3-tuples fuzzy linguistic representation.