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Fuzzy Knowledge Discovery and Decision-Making Through Clustering and Dynamic Tables: Application in Medicine

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Information Technology and Systems (ICITS 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 918))

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Abstract

The objective of this study was to design, to implement and to validate a framework for the development of decision system support based on fuzzy set theory using clusters and dynamic tables. To validate the proposed framework, a fuzzy inference system was developed with the aim to classify breast cancer and compared with other related works (Literature). The fuzzy Inference System has three input variables. The results show that the Kappa Statistics and accuracy were 0.9683 and 98.6%, respectively for the output variable for the Fuzzy Inference System – FIS, showing a better accuracy than some literature results. The proposed framework may provide an effective means to draw a pattern to the development of fuzzy systems.

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Acknowledgments

The first author expresses his deep thanks to the Administrative Department of Science, Technology, and Innovation – COLCIENCIAS of Colombia and the Universidad del Norte for the Doctoral scholarship. Also expresses their deep thanks to the Universidad del Sinú Elías Bechara Zainúm for the scholar and financial support.

Author information

Authors and Affiliations

  1. Faculty of Economics, Administrative and Accounting Sciences, University of the Sinú Elías Bechara Zainúm, Montería, Córdoba, Colombia

    Yamid Fabián Hernández-Julio, Helmer Muñoz Hernández, Javier Darío Canabal Guzmán & Romel Ramón González Díaz

  2. Systems Engineering and Computation, University of the North, Barranquilla, Colombia

    Wilson Nieto-Bernal

  3. Engineering Department, Universidade Federal de Lavras, Lavras, Minas Gerais, Brazil

    Patrícia Ponciano Ferraz

Authors
  1. Yamid Fabián Hernández-Julio
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  2. Helmer Muñoz Hernández
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  3. Javier Darío Canabal Guzmán
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  4. Wilson Nieto-Bernal
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  5. Romel Ramón González Díaz
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  6. Patrícia Ponciano Ferraz
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Corresponding author

Correspondence to Yamid Fabián Hernández-Julio .

Editor information

Editors and Affiliations

  1. DEI/FCT, Universidade de Coimbra, Coimbra, Portugal

    Álvaro Rocha

  2. Facultad de Geografía, Universidad de Santiago de Compostela, Santiago Compostela, La Coruña, Spain

    Carlos Ferrás

  3. Departamento de Eléctrica, Electrónica y Telecomunicaciones, Universidad de las Fuerzas Armadas “ESPE”, Sangolqui, Ecuador

    Manolo Paredes

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Hernández-Julio, Y.F., Hernández, H.M., Guzmán, J.D.C., Nieto-Bernal, W., Díaz, R.R.G., Ferraz, P.P. (2019). Fuzzy Knowledge Discovery and Decision-Making Through Clustering and Dynamic Tables: Application in Medicine. In: Rocha, Á., Ferrás, C., Paredes, M. (eds) Information Technology and Systems. ICITS 2019. Advances in Intelligent Systems and Computing, vol 918. Springer, Cham. https://doi.org/10.1007/978-3-030-11890-7_13

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