A Framework for Selecting Machine Learning Models Using TOPSIS

Maikel Yelandi Leyva Vazquezl; Luis Andy  Briones Peñafiel; Steven Xavier  Sanchez Muñoz; Miguel Angel Quiroz Martinez

doi:10.1007/978-3-030-51328-3_18

A Framework for Selecting Machine Learning Models Using TOPSIS

Maikel Yelandi Leyva Vazquezl, Luis Andy Briones Peñafiel, Steven Xavier Sanchez Muñoz, Miguel Angel Quiroz Martinez

Artificial Intelligence and Facial Recognition Research Group (GIIAR)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing
Editors	Tareq Ahram
Publisher	Springer
Pages	119-126
Number of pages	8
ISBN (Print)	9783030513276
DOIs	https://doi.org/10.1007/978-3-030-51328-3_18
State	Published - 2021
Event	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020 - San Diego, United States Duration: 16 Jul 2020 → 20 Jul 2020

Publication series

Name	Advances in Intelligent Systems and Computing
Volume	1213 AISC
ISSN (Print)	2194-5357
ISSN (Electronic)	2194-5365

Conference

Conference	AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020
Country	United States
City	San Diego
Period	16/07/20 → 20/07/20

Bibliographical note

Funding Information:
Authors want to thank the Grupo de Investigaci?n en Inteligencia Artificial y Reconocimiento Facial (GIIAR) and the Universidad Polit?cnica Salesiana for supporting this research.

Publisher Copyright:
© 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG.

Copyright:
Copyright 2020 Elsevier B.V., All rights reserved.

Keywords

Breast cancer
Breast cancer Wisconsin dataset
Data set
Machine learning
TOPSIS

UN SDGs

This output contributes to the following Sustainable Development Goal(s)

Access to Document

10.1007/978-3-030-51328-3_18

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Vazquezl, M. Y. L., Briones Peñafiel, L. A., Sanchez Muñoz, S. X., & Martinez, M. A. Q. (2021). A Framework for Selecting Machine Learning Models Using TOPSIS. In T. Ahram (Ed.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing (pp. 119-126). (Advances in Intelligent Systems and Computing; Vol. 1213 AISC). Springer. https://doi.org/10.1007/978-3-030-51328-3_18

Vazquezl, Maikel Yelandi Leyva ; Briones Peñafiel, Luis Andy ; Sanchez Muñoz, Steven Xavier ; Martinez, Miguel Angel Quiroz. / A Framework for Selecting Machine Learning Models Using TOPSIS. Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. editor / Tareq Ahram. Springer, 2021. pp. 119-126 (Advances in Intelligent Systems and Computing).

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title = "A Framework for Selecting Machine Learning Models Using TOPSIS",

keywords = "Breast cancer, Breast cancer Wisconsin dataset, Data set, Machine learning, TOPSIS",

author = "Vazquezl, {Maikel Yelandi Leyva} and {Briones Pe{\~n}afiel}, {Luis Andy} and {Sanchez Mu{\~n}oz}, {Steven Xavier} and Martinez, {Miguel Angel Quiroz}",

note = "Funding Information: Authors want to thank the Grupo de Investigaci?n en Inteligencia Artificial y Reconocimiento Facial (GIIAR) and the Universidad Polit?cnica Salesiana for supporting this research. Publisher Copyright: {\textcopyright} 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.; null ; Conference date: 16-07-2020 Through 20-07-2020",

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doi = "10.1007/978-3-030-51328-3_18",

language = "English",

isbn = "9783030513276",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer",

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Vazquezl, MYL, Briones Peñafiel, LA, Sanchez Muñoz, SX & Martinez, MAQ 2021, A Framework for Selecting Machine Learning Models Using TOPSIS. in T Ahram (ed.), Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Advances in Intelligent Systems and Computing, vol. 1213 AISC, Springer, pp. 119-126, AHFE Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing, 2020, San Diego, United States, 16/07/20. https://doi.org/10.1007/978-3-030-51328-3_18

A Framework for Selecting Machine Learning Models Using TOPSIS. / Vazquezl, Maikel Yelandi Leyva; Briones Peñafiel, Luis Andy ; Sanchez Muñoz, Steven Xavier ; Martinez, Miguel Angel Quiroz.

Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. ed. / Tareq Ahram. Springer, 2021. p. 119-126 (Advances in Intelligent Systems and Computing; Vol. 1213 AISC).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Framework for Selecting Machine Learning Models Using TOPSIS

AU - Vazquezl, Maikel Yelandi Leyva

AU - Briones Peñafiel, Luis Andy

AU - Sanchez Muñoz, Steven Xavier

AU - Martinez, Miguel Angel Quiroz

N1 - Funding Information: Authors want to thank the Grupo de Investigaci?n en Inteligencia Artificial y Reconocimiento Facial (GIIAR) and the Universidad Polit?cnica Salesiana for supporting this research. Publisher Copyright: © 2021, The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2021

Y1 - 2021

KW - Breast cancer

KW - Breast cancer Wisconsin dataset

KW - Data set

KW - Machine learning

KW - TOPSIS

UR - http://www.scopus.com/inward/record.url?scp=85088508933&partnerID=8YFLogxK

U2 - 10.1007/978-3-030-51328-3_18

DO - 10.1007/978-3-030-51328-3_18

M3 - Conference contribution

AN - SCOPUS:85088508933

SN - 9783030513276

T3 - Advances in Intelligent Systems and Computing

SP - 119

EP - 126

BT - Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing

A2 - Ahram, Tareq

PB - Springer

Y2 - 16 July 2020 through 20 July 2020

ER -

Vazquezl MYL, Briones Peñafiel LA, Sanchez Muñoz SX, Martinez MAQ. A Framework for Selecting Machine Learning Models Using TOPSIS. In Ahram T, editor, Advances in Artificial Intelligence, Software and Systems Engineering - Proceedings of the AHFE 2020 Virtual Conferences on Software and Systems Engineering, and Artificial Intelligence and Social Computing. Springer. 2021. p. 119-126. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-030-51328-3_18

A Framework for Selecting Machine Learning Models Using TOPSIS

Publication series

Conference

Bibliographical note

Keywords

UN SDGs

Access to Document

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