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Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments

Publication ,  Journal Article
León, M; de Lameda, BL; Lameda, C; Chacon, JG; Martínez, MS; Rojas, J; Contreras-Velásquez, J; Graterol-Rivas, M; Durán, SW; Aguirre, M ...
Published in: Archivos Venezolanos De Farmacologia Y Terapeutica
January 1, 2016

A fuzzy classifier is a system that assigns a class label to object based on a description of it and makes use of fuzzy sets as part of its operation. Its functioning can be optimized using genetic algorithms, ensuring viable solutions. The paper proposes a fuzzy classifier optimized using a genetic algorithm hybridized with a fuzzy clustering technique. A prototype is implemented and evaluated with synthetic reference data sets as possible classification problems treatments for malignant neoplastic diseases. The results are compared with other classifiers found in the literature on the same test data. The conclusion is that the proposed method obtained similar results with functions easier to interpret.

Duke Scholars

Published In

Archivos Venezolanos De Farmacologia Y Terapeutica

ISSN

0798-0264

Publication Date

January 1, 2016

Volume

35

Issue

2

Start / End Page

36 / 41

Related Subject Headings

  • 3203 Dentistry
  • 1103 Clinical Sciences
 

Citation

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ICMJE
MLA
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León, M., de Lameda, B. L., Lameda, C., Chacon, J. G., Martínez, M. S., Rojas, J., … Bermúdez, V. (2016). Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments. Archivos Venezolanos De Farmacologia Y Terapeutica, 35(2), 36–41.
León, M., B. L. de Lameda, C. Lameda, J. G. Chacon, M. S. Martínez, J. Rojas, J. Contreras-Velásquez, et al. “Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments.” Archivos Venezolanos De Farmacologia Y Terapeutica 35, no. 2 (January 1, 2016): 36–41.
León M, de Lameda BL, Lameda C, Chacon JG, Martínez MS, Rojas J, et al. Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments. Archivos Venezolanos De Farmacologia Y Terapeutica. 2016 Jan 1;35(2):36–41.
León, M., et al. “Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments.” Archivos Venezolanos De Farmacologia Y Terapeutica, vol. 35, no. 2, Jan. 2016, pp. 36–41.
León M, de Lameda BL, Lameda C, Chacon JG, Martínez MS, Rojas J, Contreras-Velásquez J, Graterol-Rivas M, Durán SW, Aguirre M, Vera M, Cerda M, Garicano C, Hernández JD, Arias V, Graterol R, Chacín M, Bermúdez V. Application of fuzzy logic and genetic algorithms for classification of malignant neoplastic diseases treatments. Archivos Venezolanos De Farmacologia Y Terapeutica. 2016 Jan 1;35(2):36–41.

Published In

Archivos Venezolanos De Farmacologia Y Terapeutica

ISSN

0798-0264

Publication Date

January 1, 2016

Volume

35

Issue

2

Start / End Page

36 / 41

Related Subject Headings

  • 3203 Dentistry
  • 1103 Clinical Sciences