Geração genética de classificador fuzzy intervalar do tipo-2
Pimenta, Adinovam Henriques de Macedo
MetadataMostrar registro completo
The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic generation form data sets, by means of genetic algorithms. This work investigates the use of such sets focussing the issue of balance between the cost addition in representation and the gains in interpretability and accuracy, both deriving from the representation and processing complexity of interval type-2 fuzzy sets. With this intent, an evolutionary model composed of three stages was proposed and implemented. In the first stage the rule base is generated, in the second stage the data base is optimized and finally, the number of rules of the rule base obtained is optimized in the third stage. The model developed was evaluated using several benchmark data sets and the results obtained were compared with two other fuzzy classifiers, being one of them generated by the same model using type-1 fuzzy sets and the other one generated by the Wang&Mendel method. Statistical methods usually applied for comparisons in similar contexts demonstrated a significant improvement in the classification rates of the intervalar type-2 fuzzy set classifier generated by the proposed model, with relation to the other methods.
Apresentado os itens relacionados pelo título, autor e assunto.
Processamento de conhecimento impreciso combinando raciocínio de ontologias fuzzy e sistemas de inferência fuzzy Yaguinuma, Cristiane Akemi; http://lattes.cnpq.br/8473904363105984 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, , 13/12/2013)In Computer Science, ontologies are used for knowledge representation in a number of applications, aiming to structure and handle domain semantics through models shared by humans and computational systems. Although traditional ...
Lopes, Mariana Vieira Ribeiro; http://lattes.cnpq.br/8477126045991210 (Universidade Federal de São Carlos, UFSCar, Programa de Pós-Graduação em Ciência da Computação - PPGCC, Câmpus São Carlos, 03/03/2016)Inductive Decision Trees (DT) are mechanisms based on the symbolic paradigm of machine learning which main characteristics are easy interpretability and low computational cost. Though they are widely used, the DTs can ...
Um estudo fuzzy para propor um modelo matemático como auxílio ao diagnóstico médico das faringotonsilites Pissini, Mariana Moretto (Universidade Federal de São Carlos, UFSCar, Programa de Mestrado Profissional em Matemática em Rede Nacional - PROFMAT, Câmpus Sorocaba, 21/02/2019)Medical practice consists of a continuous decision-making process and Fuzzy Logic has participated in this process. In this context, this research has as main objective to carry out a study on basic concepts of Fuzzy Set ...