International Journal of Computational Intelligence Systems

Volume 5, Issue 2, April 2012, Pages 387 - 402

Genetic Learning of Fuzzy Parameters in Predictive and Decision Support Modelling

Authors
Ángela Nebot, Francisco Mugica, Félix Castro, Jesús Acosta
Corresponding Author
Ángela Nebot
Received 15 October 2010, Accepted 1 June 2011, Available Online 1 April 2012.
DOI
10.1080/18756891.2012.685328How to use a DOI?
Keywords
Genetic fuzzy systems, fuzzy inductive reasoning, predictive models, decision support models, e-learning
Abstract

In this research a genetic fuzzy system (GFS) is proposed that performs discretization parameter learning in the context of the Fuzzy Inductive Reasoning (FIR) methodology and the Linguistic Rule FIR (LR-FIR) algorithm. The main goal of the GFS is to take advantage of the potentialities of GAs to learn the fuzzification parameters of the FIR and LR-FIR approaches in order to obtain reliable and useful predictive (FIR) models and decision support (LR-FIR) models. The GFS is evaluated in an e-learning context.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
5 - 2
Pages
387 - 402
Publication Date
2012/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
10.1080/18756891.2012.685328How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Ángela Nebot
AU  - Francisco Mugica
AU  - Félix Castro
AU  - Jesús Acosta
PY  - 2012
DA  - 2012/04/01
TI  - Genetic Learning of Fuzzy Parameters in Predictive and Decision Support Modelling
JO  - International Journal of Computational Intelligence Systems
SP  - 387
EP  - 402
VL  - 5
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2012.685328
DO  - 10.1080/18756891.2012.685328
ID  - Nebot2012
ER  -