Finding the most suitable co-author is one of the most important ways to conduct effective research in scientific fields. Data science has contributed to achieving this possibility significantly. The present study aims at designing a mathematical model of co-author recommender system in...

The study aimed to present an integrated model for evaluation of big data (BD) challenges and analytical methods in recommender systems (RSs). The proposed model used fuzzy multi-criteria decision making (MCDM) which is a human judgment-based method for weighting of RSs’ properties. Human...

The purpose of this study was to analyze the competitive situation of the cheminformatics industry using Porter’s competitive model and to determine the priority and weight of each competitive force in this industry. In addition to qualitative analysis of data collected from library surveys...

With the increasing development of information and scientific databases, scientific collaboration has expanded in health sciences. This study aims to prioritize the criteria that affect finding potential author matches in bioinformatics using fuzzy Multiple Criteria Decision Making (MCDM)...

Investment decisions are influenced by various factors, including personal characteristics and managerial issues. In this research, we aimed to investigate the impact of managerial traits on investment decisions by using adaptive neuro-fuzzy inference system (ANFIS) to develop a personalized...

The proposed model is an adaptive neuro-fuzzy inference recommender system that utilizes customer investment service feedback and fuzzy neural inference solutions to generate personalized investment recommendations. The model is designed to support the investment process for the customers and...

A teljesítmény mérése kulcsfontosságú minden üzleti folyamat irányításában, így azokban a teljesítményfejlesztő programokban is, melyeket számos nemzetközi termelési hálózat vezetett be az elmúlt évtizedekben. A szerzők munkája kiegészíti azt a viszonylag csekély...

Developing a big data signal processing method is to monitor the behavior of a common component: a pneumatic actuator. The method is aimed at supporting condition-based maintenance activities: monitoring signals over an extended period, and identifying, classifying diferent machine states that...

In modern industries, there is a significant repository of sensor data, which contains a large amount of information. Unfortunately, this rich source of information is undervalued and underutilized, and its full potential is not fully exploited by modern day manufacturers. In the Industry 4.0...

Számos Ipar 4.0-hoz kapcsolódó kutatás zajlik napjainkban. A terület szakirodalma jelentős, több Ipar 4.0 érettségi modell ismert a vállalatok ipari digitalizációs felkészültségének azonosítására. E modellek elméleti háttere, fókusza és dimenzió szerkezete azonban...