Multi Input Single Output Fuzzy Model to Evaluate the Performance of Distance Education Media

Wassan Hashim, Faiz Alawy, Jawad Hameed

Abstract

Distance learning is being the preferred mean for continuous learning at any educational center and there is urgent need to adapt with the technological requirements for such open learning methods. A fuzzy logic based model has been introduced in this work to estimate the overhaul efficiency of the distance education media to meet specific training objective. This fuzzy model has been tested to simulate the Tony Bates “ACTIONS” model (Bates, 1995). The performance of the model has been validated by comparing the model results with actual examples which have been obtained by conducting practical survey. The fuzzy ANFIS model has been trained using back-propagation and least-square methods.

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Paper Citation


in Harvard Style

Hashim W., Alawy F. and Hameed J. (2020). Multi Input Single Output Fuzzy Model to Evaluate the Performance of Distance Education Media.In Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES, ISBN 978-989-758-497-8, pages 5-10. DOI: 10.5220/0010297700050010


in Bibtex Style

@conference{icces20,
author={Wassan Hashim and Faiz Alawy and Jawad Hameed},
title={Multi Input Single Output Fuzzy Model to Evaluate the Performance of Distance Education Media},
booktitle={Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,},
year={2020},
pages={5-10},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010297700050010},
isbn={978-989-758-497-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 1st International Conference on Computing and Emerging Sciences - Volume 1: ICCES,
TI - Multi Input Single Output Fuzzy Model to Evaluate the Performance of Distance Education Media
SN - 978-989-758-497-8
AU - Hashim W.
AU - Alawy F.
AU - Hameed J.
PY - 2020
SP - 5
EP - 10
DO - 10.5220/0010297700050010