Evaluation of Criteria for the Implementation of High-Performance Computing (HPC) in Danube Region Countries Using Fuzzy PIPRECIA Method
| Autor: | Dragisa Stanujkic, Darjan Karabasevic, Milovan Tomašević, Lucija Lapuh, Željko Stević |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Fuzzy PIPRECIA
Computer science supercomputers Geography Planning and Development lcsh:TJ807-830 lcsh:Renewable energy sources 02 engineering and technology Management Monitoring Policy and Law Fuzzy logic Order (exchange) high-performance computing (HPC) 0502 economics and business 0202 electrical engineering electronic engineering information engineering Dynamism lcsh:Environmental sciences lcsh:GE1-350 Renewable Energy Sustainability and the Environment business.industry lcsh:Environmental effects of industries and plants 05 social sciences Information technology Environmental economics lcsh:TD194-195 Danube region countries Sustainability 020201 artificial intelligence & image processing Pairwise comparison business 050203 business & management |
| Zdroj: | Sustainability Volume 12 Issue 7 Sustainability, Vol 12, Iss 3017, p 3017 (2020) |
| ISSN: | 2071-1050 |
| DOI: | 10.3390/su12073017 |
| Popis: | The use of computers with outstanding performance has become a real necessity in order to achieve greater efficiency and sustainability for the accomplishment of various tasks. Therefore, with the development of information technology and increasing dynamism in the business environment, it is expected that these computers will be more intensively deployed. In this paper, research was conducted in Danube region countries: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Moldova, Montenegro, Romania, Serbia, Slovakia, Slovenia, and Ukraine. The aim of the research was to determine what criteria are most significant for the introduction of high-performance computing and the real situation in each of the countries. In addition, the aim was to establish the infrastructure needed to implement such a system. In order to determine the partial significance of each criterion and thus the possibility of implementing high-performance computing, a multi-criteria model in a fuzzy environment was applied. The weights of criteria and their rankings were performed using the Fuzzy PIvot Pairwise RElative Criteria Importance Assessment&mdash fuzzy PIPRECIA method. The results indicate different values depend on decision-makers (DMs) in the countries. Spearman&rsquo s and Pearson&rsquo s correlation coefficients were calculated to verify the results obtained. |
| Databáze: | OpenAIRE |
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