Knowledge based decision support system

摘要

Welcome to this special issue of the Information Technology and Management journal on knowledge based decision support systems. The main goal for this special issue is to be a timely vehicle for publishing selected research papers from academia and practitioners in different industries on this emerging topic. Knowledge-based decision support systems are systems designed to ensure more precise decision-making by effectively using timely and appropriate data, information, and knowledge management for convergence industry. These systems refer to decision-making based on relevant knowledge, which is based on artificial intelligence, and on the application of information and communication technologies. In addition, these systems support decision-making through prediction and recommendation techniques. Depending on the criteria, there are various classifications. Based on the knowledge used for deduction, data is classified into knowledge-based systems using dictionary-defined knowledge, and non-knowledge-based systems using machine learning and multi-dimensional statistical pattern recognition techniques. This special issue covers some of the hottest topics in knowledge-based decision support systems, including: Decision Support for Convergence; Knowledge-based Applications and Management; Knowledge Acquisition and Representation; Knowledge Bases; Knowledge based Recommendation Systems; Data Modeling; Database Management Systems; Data Mining; Management Systems; Intelligent Healthcare Systems and Management; Decision Support Systems and Management; Machine Learning; Systems Analysis; and Design and Development.