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
Yusuf Tansel İç
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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.

基于 2009 年至 2020 年的数据,利用经济物理学视角确定土耳其大学新崛起的工程系是否合适的多标准战略评估模型
近十年来,工程技术发展迅速,对工程教育提出了新的要求。因此,新的和更有针对性的专业正在工程学院中兴起。土耳其经济得到了发展,有必要在新投资的基础上开发新的工业技术。根据社会经济的发展情况,我们需要科学的模式来决定哪些工科系是必要的。为此,我们根据世界最新发展情况,对土耳其可以建立哪些部门来满足需求进行了战略分析。在分析阶段,我们列出了世界各大学的工程系,并与土耳其各大学进行了比较。根据这些分析和从土耳其统计研究所网站上收集的相关数据,我们确定了备选院系的选择标准。我们使用新的基于脉冲和动量原理的权重分配程序,即通过与理想解决方案相似性排序偏好技术(IMP-TOPSIS)方法,在不同情况下对备选院系进行排序。我们得出结论,人工智能工程系是最合适的备选系。此外,根据所得结果,航空航天工程的重要性排在第二位,材料科学和纳米技术工程的重要性排在第三位。
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来源期刊
CiteScore
7.40
自引率
14.30%
发文量
0
审稿时长
6 months
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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