Attributes of the performance of central processing units: a relative performance prediction model
Communications of the ACM
A simple but powerful heuristic method for generating fuzzy rules from numerical data
Fuzzy Sets and Systems
The three semantics of fuzzy sets
Fuzzy Sets and Systems - Special issue: fuzzy sets: where do we stand? Where do we go?
On the variance of fuzzy random variables
Fuzzy Sets and Systems
Completeness and consistency conditions for learning fuzzy rules
Fuzzy Sets and Systems
Fuzzy sets as a basis for a theory of possibility
Fuzzy Sets and Systems
The necessity of the strong &agr;-cuts of a fuzzy set
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems - Special issue on aggregation operators
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Uncertainty Models for Knowledge-Based Systems; A Unified Approach to the Measurement of Uncertainty
Efficient Genetic Algorithm Based Data Mining Using Feature Selection with Hausdorff Distance
Information Technology and Management
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
International Journal of Approximate Reasoning
Higher order models for fuzzy random variables
Fuzzy Sets and Systems
Representing parametric probabilistic models tainted with imprecision
Fuzzy Sets and Systems
Dynamic clustering of interval data using a Wasserstein-based distance
Pattern Recognition Letters
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
Expert Systems with Applications: An International Journal
Practical representations of incomplete probabilistic knowledge
Computational Statistics & Data Analysis
On the variability of the concept of variance for fuzzy random variables
IEEE Transactions on Fuzzy Systems
Multi-objective optimization of problems with epistemic uncertainty
EMO'05 Proceedings of the Third international conference on Evolutionary Multi-Criterion Optimization
A fast and elitist multiobjective genetic algorithm: NSGA-II
IEEE Transactions on Evolutionary Computation
Fuzzy systems with defuzzification are universal approximators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A proposal for improving the accuracy of linguistic modeling
IEEE Transactions on Fuzzy Systems
Advocating the Use of Imprecisely Observed Data in Genetic Fuzzy Systems
IEEE Transactions on Fuzzy Systems
On the variability of the concept of variance for fuzzy random variables
IEEE Transactions on Fuzzy Systems
GFS-based analysis of vague databases in high performance athletics
IDEAL'09 Proceedings of the 10th international conference on Intelligent data engineering and automated learning
International Journal of Approximate Reasoning
Diagnosis of dyslexia with low quality data with genetic fuzzy systems
International Journal of Approximate Reasoning
Upper and lower probabilities induced by a fuzzy random variable
Fuzzy Sets and Systems
Upper and lower probabilities induced by a fuzzy random variable
Fuzzy Sets and Systems
Mark-recapture techniques in statistical tests for imprecise data
International Journal of Approximate Reasoning
International Journal of Approximate Reasoning
Design of fuzzy radial basis function-based polynomial neural networks
Fuzzy Sets and Systems
Analysing the low quality of the data in lighting control systems
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part I
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Comparison of fuzzy functions for low quality data GAP algorithms
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Inner and outer fuzzy approximations of confidence intervals
Fuzzy Sets and Systems
Project scheduling under uncertainty using fuzzy modelling and solving techniques
Engineering Applications of Artificial Intelligence
Simple model-free controller for the stabilization of planetary inverted pendulum
Journal of Control Science and Engineering
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Genetic fuzzy systems (GFS) are based on the use of genetic algorithms for designing fuzzy systems, and for providing them with learning and adaptation capabilities. In this context, fuzzy sets represent linguistic granules of information, contained in the antecedents and consequents of the rules, whereas the data used in the genetic learning is assumed to be crisp. GFS seldom deal with fuzzy-valued data. In this paper we address this problem, and propose a set of techniques that can be incorporated to different GFS in order to learn a knowledge base (KB) from interval and fuzzy data for regression problems. Details will be given about the representation of non-standard data with fuzzy sets, about the needed changes in the reasoning method of the fuzzy rule-based system, and also about a new generalization of the mean squared error to vague data. In addition, we will show that the learning process requires a genetic algorithm that must be capable of optimizing a multicriteria fitness function, containing both crisp and interval-valued criteria. Lastly, we benchmark our procedures with some machine learning related datasets and a real-world problem of marketing, and the techniques proposed here are shown to improve the generalization properties of other KBs obtained from crisp training data.