2022
DOI: 10.36543/kauiibfd.2022.003
|View full text |Cite
|
Sign up to set email alerts
|

Comparative Analysis of McDm Methods for the Assessment of Ict Development in G7 Countries

Abstract: Bilgi ve iletişim teknolojileri (BİT), her türlü görsel, işitsel basılı ve yazılı araçlar aracılığıyla bilgiye ulaşılmasını, bilginin işlenmesini sağlamaktadır. Bu çalışmada, Çok Kriterli Karar Verme (ÇKKV) yöntemleri kullanılarak G7 ülkelerinin BİT gelişiminin değerlendirilmesi amaçlanmıştır. Bu doğrultuda, Entropy yöntemi kriterlerin ağırlıklarını belirlemek amacıyla kullanılmış, Yakınlık Endeksli Değer (PIV), Değer Aralığı (ROV), ve Karmaşık Oransal Değerlendirme (COPRAS) yöntemleri ise alternatifleri sıral… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
3

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 22 publications
0
2
0
Order By: Relevance
“…This method has the advantage of minimizing the rank reversal phenomenon [7]. With this advantage, it is strongly exploited to rank the solutions in many different cases such as ranking the online learning websites [8], choosing the materials to manufacture some parts in F1 racing cars [9], choosing natural fibers for car roofs [10], evaluating the logistics performance index of EU countries [11], selecting the additives for a material production process [12], selecting the turning processes [13,14], selection of selection of grinding options [15], choosing renewable energy source [16], evaluating the financial performance of companies [17], evaluating the information and communication technology developments of G7 Countries [18], selecting the location for construction of the storehouse in logistics [19], selecting the location for construction of textile facilities in Sivas province in Turkey [20], selecting the suppliers [21], choosing a house design model to minimize the consumption of materials when building [22], selecting offshore location for construction of Offshore wind farm (OWF) in the energy industry [23], ect. Thus, it can be seen that PIV has been successfully used in many cases in many different fields.…”
Section: Introductionmentioning
confidence: 99%
“…This method has the advantage of minimizing the rank reversal phenomenon [7]. With this advantage, it is strongly exploited to rank the solutions in many different cases such as ranking the online learning websites [8], choosing the materials to manufacture some parts in F1 racing cars [9], choosing natural fibers for car roofs [10], evaluating the logistics performance index of EU countries [11], selecting the additives for a material production process [12], selecting the turning processes [13,14], selection of selection of grinding options [15], choosing renewable energy source [16], evaluating the financial performance of companies [17], evaluating the information and communication technology developments of G7 Countries [18], selecting the location for construction of the storehouse in logistics [19], selecting the location for construction of textile facilities in Sivas province in Turkey [20], selecting the suppliers [21], choosing a house design model to minimize the consumption of materials when building [22], selecting offshore location for construction of Offshore wind farm (OWF) in the energy industry [23], ect. Thus, it can be seen that PIV has been successfully used in many cases in many different fields.…”
Section: Introductionmentioning
confidence: 99%
“…According to Zavadskas, et al in [4] the COPRAS method is a Multi-Criteria Decision Making (MCDM) method that is used to evaluate alternatives where the ratio based on two measures, the sum of the performance of the favorable criteria and the sum of the unfavorable criteria. The COPRAS method is used for the assessment of ICT development in G7 countries [5], vulnerability mapping of subwatershed erosion [6], green logistics and green supply chain management [7], Decision Making for New Student Admissions at MTsN Bangkalan [8], motorcycle selection Electricity [9], multi-criteria decision making for hybrid wind power plants [10], Supplier Selection at ABC Mining Companies in Indonesia [11], and Determination of Potential Zones for the Pasir Batu Mine [12].…”
Section: Introductionmentioning
confidence: 99%