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 Article10.9734/BJMCS/2015/16358
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 Article10.9734/BJMCS/2015/15619
This paper outlines the basic difference between the Mamdani/Sugeno Fuzzy inference systems (FIS) and the actual values. The main motivation behind this research is to assess which approach provides the best performance for predicting prices of Fund. Due to the importance of perf...
Open access
Research Article10.9734/BJMCS/2014/11644
Data are rarely perfect. Whether the problem is data entry errors or rare events. Outliers have two opposing properties. They can be noises that disturb regression and classification task. On the other hand, they can provide valuable information about rare phenomena, which can le...
Open access
Research Article10.9734/BJMCS/2014/11194
In many situations, instead of a complete sample, data are available only in grouped form. In this situation the values of individual observations are not known, but the number of observations that fall in each group is only known. Here the model under consideration is the expone...
Open access
Research Article10.9734/BJAST/2014/4408