Pregled bibliografske jedinice broj: 1028813
Application of PageRank Centrality in Multi- Criteria Decision Making
Application of PageRank Centrality in Multi- Criteria Decision Making // SOR ’19 Proceedings The 15th International Symposium on Operational Research / Zadnik Stirn, Lidija ; Kljajić Borštar, Mirjana ; Žerovnik, Janez ; Drobne, Samo ; Povh, Janez (ur.).
Bled: Slovensko društvo informatika, 2019. str. 54-59 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Application of PageRank Centrality in Multi- Criteria Decision Making
Autori
Kadoić, Nikola ; Begičević Ređep, Nina ; Divjak Blaženka
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
SOR ’19 Proceedings The 15th International Symposium on Operational Research
/ Zadnik Stirn, Lidija ; Kljajić Borštar, Mirjana ; Žerovnik, Janez ; Drobne, Samo ; Povh, Janez - Bled : Slovensko društvo informatika, 2019, 54-59
ISBN
978-961-6165-55-6
Skup
15th International Symposium on Operations Research in Slovenia (SOR '19)
Mjesto i datum
Bled, Slovenija, 25.09.2019. - 27.09.2019
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
criteria ; multi-criteria decision-making ; MCDM ; ANP ; PageRank centrality ; PageRank ; influences ; dependencies
Sažetak
Multicriterial analysis is a highly developed area since there is a large number of multicriteria decision-making (MCDM) methods. The multi-criteria analysis enables a precise problem analysis and ensures the rationality of decision that is made. However, all problem analysis using different methods can give different results (decision), so it is important to recognize which MCDM method is appropriate for a particular situation. There are MCDM methods by using which we can model dependencies and influences between the criteria in decision-making problem. One of the most used MCDM methods that are used in terms of problem analysis is the analytic network process (ANP). Previous researches discussed some problems related to using the ANP in decision-making. As a solution to those problems using the PageRank centrality can be considered. In this paper, we are presenting several possibilities of applying the PageRank centrality for multi-criteria analysis. Presented possibilities are compared and discussed. As a result, using the weighted PageRank centrality is proposed as the optimal solution for multi-criteria analysis when dependencies (influences) between the criteria are examined.
Izvorni jezik
Engleski
Znanstvena područja
Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet organizacije i informatike, Varaždin