As customers are the main asset of any organization, customer churn management is becoming a major task for organizations to retain their valuable customers. In the previous studies, the applicability and efficiency of hierarchical data mining techniques for churn prediction by combining two or more techniques have been proved to provide better performances than many single techniques over a nu...

The discovery of Anti-Cyclic Citrullinated Protein (CCP) more than 20 years ago gave raise to the investigation of RA pathophysiology. The study of these autoantibodies illuminated autoimmune pathways involved in RA pathogenesis and clarified some aspects of the role of other molecular systems (MHC class II) in the development of RA. On In the clinical field, they have proven to be reliable mar...

Choosing the right delivery service partner is an important thing for companies to consider. This because selection of can minimize risks involved. Generally, choosing a done by looking at profile freight forwarder's partner. It takes time determine study aims apply Complex Proportional Assessment (COPRAS) and Rank Order Centroid (ROC) methods in decision support system selecting partners make ...

Abstract Various types of sensors deployed in power networks are susceptible to bad weather, intrinsic defects, and other effects produce missing, duplicate, abnormal data, which reduces the accuracy equipment condition evaluation results. Power sensing data is an important way for operation maintenance personnel understand status equipment, but there less research on quality assessment. This p...

Multi-attribute analysis is a useful tool in many economical, managerial, constructional, etc. problems. The accuracy of performance measures in COPRAS (The multi-attribute COmplex PRoportional ASsessment of alternatives) method is usually assumed to be accurate. This method assumes direct and proportional dependence of the weight and utility degree of investigated versions on a system of attri...