Mohamed Abdullah

A Global Indicator for Measuring the Efficiency of Machine Learning Classifier Based on Multi-Criteria Approach

Hegazy Zaher & Mohamed Abdullah · Journal of Advances in Mathematics and Computer Science · 2015

The main challenge that faces any researcher in the field of machine learning is determining the quality of an indicator used for measuring the efficiency of classifier techniques. This issue based on Multiple-Criteria Decision Making (MCDM) has not been tackled by any researcher...

Open access Research Article 10.9734/BJMCS/2015/16358

Social Learning under Uncertainty Based on Dempster-Shafer Approach for Minimizing True Error of Machine Learning

Hegazy Zaher, Mohamed Abdullah & Naglaa Raga Said · Journal of Advances in Mathematics and Computer Science · 2015

Minimizing true error of the classification process under uncertainty is one of the difficult issues in the field of machine learning. Researchers do not address this topic until this time despite its importance in practical life. This paper can be considered as a development of...

Open access Research Article 10.9734/BJMCS/2015/15619