This study proposes “FIPIA with information entropy” as a new, hybrid method to assess
airline service quality by identifying the most important priorities for airline passengers and …

In the banking industry, credit card evolution is a noticeable occurrence. Each banking
system includes a huge dataset for customer's transactions of their credit cards. Therefore …

This article analyzes the phenomenon of deconsumption, which is relatively new and
insufficiently researched or defined. Based on a review of the literature on the subject, it was …

The performance of a cognitive radio network (CRN) mainly depends on the faithful signal
detection at fusion center (FC). In this paper, the concept of weighted fuzzy rule in Iris data …

With the rapid development of the economy, a large amount of financial data will be
generated during the continuous growth of enterprises. However, due to the explosive …

The aim of this study is to determine the variables which affect the intention of Near-Field
Communication (NFC)-enabled mobile credit card usage by estimating a fuzzy linear …

This research aimed to show the result of clustering students' tuition (UKT) at Undiksha
using algorithm FCM. The characteristics of each cluster, measurement of level …

Purpose–To develop a novel prediction model and determine the variables that best predict
hospitals' financial failures. Design/methodology/approach–A fuzzy C-means clustering …

The aim of this paper is to optimize the Fuzzy C-Means (FCM) model of the ANFIS neuro-
fuzzy system to model the four types of mesoscale anticyclonic eddy trajectories in the …

Although the number of stomach tumor patients reduced obviously during last decades in
western countries, but this illness is still one of the main causes of death in developing …