The supplier selection is a multi-criteria decision making which consist both qualities and quantities metrics. A lot of investigations have been published in the supplier selection area and, most of the proposed models focused on manufacturing environments and a few papers have been allocated for SERVICE industries. proposed system utilizes new method that transfer the house of quality (HOQ) approach typically of quality function deployment (QFD) problems to the supplier selection process also this model can rate both qualitative and quantitative criteria’s and select suitable suppliers effectively. Symmetrical fuzzy triangular numbers (STFNs) are used to capture the vagueness in people’s linguistics assessments and also in this model the weights of decision makers are different and this parameter is calculated by fuzzy inference system.

Customer churning is one of the most important issues facing INTERNET SERVICE PROVIDERs in a competitive and rapidly saturating market. Due to the high costs associated with attracting new customers, ISPs have turned to a customer retention approach that explicitly seeks to reduce churn. This study has been surveyed the churning of INTERNET SERVICE customers in one of the largest telecommunication companies in Iran. In order to predict the churn, customer data has been collected during six months, and their churning behavior has been investigated over a period of one year after. In addition to churn prediction, the most important factors affecting churn have been identified. In the preprocessing step, the "Random Under-Sampling" method is used to balance the data set and the "minimum-Redundancy, Maximum-Relevance" method is used to feature selection. Then, the "Random Forest", "Support Vector Machine" and "K-Nearest Neighbors" algorithms were applied to classify churning and non-churning customers, and the evaluation criteria showed the superiority of the random forest algorithm. The final model, which was obtained from a combination of balancing, feature selection and classification methods, called the RUS-mRMR-RF model, is considered as an efficient model in customer churn prediction and identifying the most important factors affecting churn. The results of this study provide valuable insights for the company to develop customer retention strategies.

The aim of this paper is to consider whether critical rationalism has any ideas which could usefully be applied to the INTERNET.  Today we tend to take the INTERNET for granted and it is easy to forget that it was only about two decades ago that it began to be used to any significant extent. Accordingly in section 1 of the paper, there is a brief consideration of the history of the INTERNET.  At first sight this makes it looks implausible that any of Popper’s ideas could be applicable to the INTERNET, since Popper died before the INTERNET came into general use.  However, section 2 argues that Popper’s theory of World 3 does apply very well to the INTERNET.  This application is significant because, as shown in section 3, it leads to the problem of misinformation, which is one of the most significant problems generated by the INTERNET.  In section 4 there is an attempt to solve this problem using ideas taken from Popper’s epistemology. It is argued that there should be changes in education designed to prepare students for the INTERNET age. Teaching in the INTERNET age should focus on presenting to the students not just the accepted theories but also the evidence on which they are based. An illustration of how this might be done is given by considering an example from science teaching, namely the teaching of Newtonian mechanics in the last years of school or first years of university.