Fuzzy certainty on fuzzy values
Antonio González; Nicolás Marín; Olga Pons; M. Amparo Vila — 2009
Control and Cybernetics
Fuzzy certainty on fuzzy values
Systems of possibilistic regressions: a case study in ecological inference.
This work introduces how possibilistic regression can be used in the case of non symmetrical triangular membership functions, building a system of regressions, so that suitable restrictions for each particular problem can be incorporated. We apply this methodology to the problem of ecological inference, in particular to the estimation of the electoral transition matrix. An experimentation with several examples shows the benefits of the new approach.
Using genetic feature selection for optimizing user profiles.
Most of the techniques used in text classification are determined by the occurrences of the words (terms) appearing in the documents, combined with the user feedback over the documents retrieved. However, in our model, the most relevant terms will be selected from a previous fuzzy classification given by the genetic algorithm guided by the user feedback, but using techniques from Machine Learning. A feature selection process is carried out through a Genetic Algorithm in order to find the most discriminatory...
Page 1