A Multi-Criteria Strategic Evaluation Model to Determine the Suitability of Newly Rising Engineering Departments in Turkish Universities Based on the Data from the Year 2009 to 2020 Using the Econophysics Perspective
IF 2.5 4区 计算机科学Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0
Abstract
In the recent decade, engineering and technology have been developed rapidly, and new requirements are rising for engineering education. So, new and more focused departments are rising in the engineering faculty. The Turkish economy has been developed, and it is necessary to develop new technologies in industry based on the new investments. The scientific models are required to decide which engineering departments are necessary based on the socio-economic development of the economy. For this aim, we present a strategic analysis of which department can be established to meet the requirements in Turkey in light of the latest developments in the world. In the analysis stage, we listed engineering departments in the world universities and compared them with Turkish universities. We determined the selection criteria for the alternative departments, following these analyses and their related data collected from the Turkish Statistical Institute’s website. We used the new impulse and momentum principle-based weight assignment procedure integrated Technique for Order Preferences by Similarity to the Ideal Solution (IMP-TOPSIS) method to rank alternative departments using different scenarios. We concluded that Artificial Intelligence Engineering is the most suitable alternative. In addition, Aerospace Engineering has the second importance, and Materials Science and Nanotechnology Engineering have the third importance, according to the obtained results.
期刊介绍:
International Journal of Information Technology and Decision Making (IJITDM) provides a global forum for exchanging research findings and case studies which bridge the latest information technology and various decision-making techniques. It promotes how information technology improves decision techniques as well as how the development of decision-making tools affects the information technology era. The journal is peer-reviewed and publishes both high-quality academic (theoretical or empirical) and practical papers in the broad ranges of information technology related topics including, but not limited to the following:
• Artificial Intelligence and Decision Making
• Bio-informatics and Medical Decision Making
• Cluster Computing and Performance
• Data Mining and Web Mining
• Data Warehouse and Applications
• Database Performance Evaluation
• Decision Making and Distributed Systems
• Decision Making and Electronic Transaction and Payment
• Decision Making of Internet Companies
• Decision Making on Information Security
• Decision Models for Electronic Commerce
• Decision Models for Internet Based on Companies
• Decision Support Systems
• Decision Technologies in Information System Design
• Digital Library Designs
• Economic Decisions and Information Systems
• Enterprise Computing and Evaluation
• Fuzzy Logic and Internet
• Group Decision Making and Software
• Habitual Domain and Information Technology
• Human Computer Interaction
• Information Ethics and Legal Evaluations
• Information Overload
• Information Policy Making
• Information Retrieval Systems
• Information Technology and Organizational Behavior
• Intelligent Agents Technologies
• Intelligent and Fuzzy Information Processing
• Internet Service and Training
• Knowledge Representation Models
• Making Decision through Internet
• Multimedia and Decision Making
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