A simple and effective remedial learning system with a fuzzy expert system-Reference-Cited by-同舟云学术

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A simple and effective remedial learning system with a fuzzy expert system

Published:2016-08-29 Issue:6 Volume:32 Page:647-662
ISSN:0266-4909
Container-title:Journal of Computer Assisted Learning
language:en
Short-container-title:Journal of Computer Assisted Learning

Author:

Lin C.-C.¹,Guo K.-H.²,Lin Y.-C.³

Affiliation:

1. Department of Software Engineering and Management; National Kaohsiung Normal University; Kaohsiung Taiwan, R.O.C.

2. Department of Industrial Technology Education; National Kaohsiung Normal University; Kaohsiung Taiwan, R.O.C.

3. Department of Business Management; National Kaohsiung Normal University; Kaohsiung Taiwan, R.O.C.

Publisher

Wiley

Subject

Computer Science Applications,Education

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/jcal.12160/fullpdf

Reference48 articles.

1. Fuzzy and multiagent instructional planner for an intelligent tutorial system;Aguilar;Applied Soft Computing,2011

2. GIS-fuzzy logic based approach in modeling soil texture: Using parts of the clay belt and hornepayne region in Ontario Canada as a case study;Akumu;Geoderma,2015

3. Modified possibilistic fuzzy C-means algorithms for segmentation of magnetic resonance image;Aparajeeta;Applied Soft Computing,2016

4. Fully automated real time fatigue detection of drivers through fuzzy expert systems;Azim;Applied Soft Computing,2014

5. Bajrami , X. Dermaku , A. Dermaku , N. 2015 Artificial neural fuzzy logic algorithm for robot path finding IFACP-PaperOnLine

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