Oscar Cordón, Francisco Herrera A three-stage evolutionary process for learning descriptive and approximate fuzzy-logic-controller knowledge bases from examples. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1997, v:17, n:4, pp:369-407 [Journal]
Oscar Cordón, Francisco Herrera, Pedro Villar Analysis and guidelines to obtain a good uniform fuzzy partition granularity for fuzzy rule-based systems using simulated annealing. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 2000, v:25, n:3, pp:187-215 [Journal]
Francisco Herrera Special issue on genetic fuzzy systems for control and robotics-- Preface. [Citation Graph (0, 0)][DBLP] Int. J. Approx. Reasoning, 1997, v:17, n:4, pp:325-326 [Journal]
Francisco Herrera, Enrique Herrera-Viedma Guest Editorial - Computing with Words: Foundations and Applications. [Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:Supplement, pp:1-2 [Journal]
Francisco Herrera, Luis Martínez An Approach for Combining Linguistic and Numerical Information Based on the 2-Tuple Fuzzy Linguistic Representation Model in Decision-Making. [Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2000, v:8, n:5, pp:539-562 [Journal]
Francisco Herrera, Luis Martínez The 2-Tuple Linguistic Computational Model. Advantages of Its Linguistic Description, Accuracy and Consistency. [Citation Graph (0, 0)][DBLP] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2001, v:9, n:Supplement, pp:33-48 [Journal]
Jorge Casillas, Oscar Cordón, Francisco Herrera COR: a methodology to improve ad hoc data-driven linguistic rule learning methods by inducing cooperation among rules. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2002, v:32, n:4, pp:526-537 [Journal]
Oscar Cordón, Francisco Herrera A two-stage evolutionary process for designing TSK fuzzy rule-based systems. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 1999, v:29, n:6, pp:703-715 [Journal]
Francisco Herrera, Luis Martínez A model based on linguistic 2-tuples for dealing with multigranular hierarchical linguistic contexts in multi-expert decision-making. [Citation Graph (0, 0)][DBLP] IEEE Transactions on Systems, Man, and Cybernetics, Part B, 2001, v:31, n:2, pp:227-234 [Journal]
Francisco Herrera, Manuel Lozano, Daniel Molina Continuous scatter search: An analysis of the integration of some combination methods and improvement strategies. [Citation Graph (0, 0)][DBLP] European Journal of Operational Research, 2006, v:169, n:2, pp:450-476 [Journal]
Consistency of Reciprocal Preference Relations. [Citation Graph (, )][DBLP]
Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule-based Classification Systems. [Citation Graph (, )][DBLP]
Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. [Citation Graph (, )][DBLP]
Visualizing Consensus in Group Decision Making Situations. [Citation Graph (, )][DBLP]
A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. [Citation Graph (, )][DBLP]
A memetic algorithm using local search chaining for black-box optimization benchmarking 2009 for noisy functions. [Citation Graph (, )][DBLP]
A memetic algorithm using local search chaining forblack-box optimization benchmarking 2009 for noise free functions. [Citation Graph (, )][DBLP]
Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. [Citation Graph (, )][DBLP]
Visualizing the Hybridizations between the Fuzzy Logic Field and the Other Soft-Computing Techniques. [Citation Graph (, )][DBLP]
A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. [Citation Graph (, )][DBLP]
Memetic Algorithm for Intense Local Search Methods Using Local Search Chains. [Citation Graph (, )][DBLP]
Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. [Citation Graph (, )][DBLP]
Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. [Citation Graph (, )][DBLP]
Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. [Citation Graph (, )][DBLP]
A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. [Citation Graph (, )][DBLP]
Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. [Citation Graph (, )][DBLP]
A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. [Citation Graph (, )][DBLP]
Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems: A Scalability Test. [Citation Graph (, )][DBLP]
Addressing Data-Complexity for Imbalanced Data-Sets: A Preliminary Study on the Use of Preprocessing for C4.5. [Citation Graph (, )][DBLP]
A Preliminar Analysis of CO2RBFN in Imbalanced Problems. [Citation Graph (, )][DBLP]
Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-Sets Using an Evolutionary Adaptive Inference System. [Citation Graph (, )][DBLP]
Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. [Citation Graph (, )][DBLP]
Memetic algorithm with Local search chaining for large scale continuous optimization problems. [Citation Graph (, )][DBLP]
Learning compact fuzzy rule-based classification systems with genetic programming. [Citation Graph (, )][DBLP]
An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. [Citation Graph (, )][DBLP]
Genetic learning of accurate TS models based on local fuzzy prototyping. [Citation Graph (, )][DBLP]
Current issues and future directions in evolutionary fuzzy systems research. [Citation Graph (, )][DBLP]
Genetic adaption of rule connectives and conjunction operators in fuzzy rule based systems: an experimental comparative study. [Citation Graph (, )][DBLP]
A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. [Citation Graph (, )][DBLP]
Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. [Citation Graph (, )][DBLP]
Influence of fuzzy partition granularity on fuzzy rule-based system behaviour. [Citation Graph (, )][DBLP]
A selection method based on the 2-tuple linguistic representation model for decision-making problems with multi-granularity linguistic information. [Citation Graph (, )][DBLP]
Characterisation of implication operators in fuzzy rule based systems from basic properties. [Citation Graph (, )][DBLP]
A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. [Citation Graph (, )][DBLP]
On the use of Measures of Separability of Classes to Characterise the Domains of Competence of a Fuzzy Rule Based Classification System. [Citation Graph (, )][DBLP]
Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. [Citation Graph (, )][DBLP]
Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. [Citation Graph (, )][DBLP]
Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. [Citation Graph (, )][DBLP]
Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. [Citation Graph (, )][DBLP]
A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. [Citation Graph (, )][DBLP]
A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-Sets. [Citation Graph (, )][DBLP]
Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. [Citation Graph (, )][DBLP]
Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. [Citation Graph (, )][DBLP]
Improving fuzzy logic controllers obtained by experts: a case study in HVAC systems. [Citation Graph (, )][DBLP]
Enhancing the effectiveness and interpretability of decision tree and rule induction classifiers with evolutionary training set selection over imbalanced problems. [Citation Graph (, )][DBLP]
Evolutionary Undersampling for Classification with Imbalanced Datasets: Proposals and Taxonomy. [Citation Graph (, )][DBLP]
Memetic Algorithms for Continuous Optimisation Based on Local Search Chains. [Citation Graph (, )][DBLP]
Search in 0.009secs, Finished in 0.017secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP