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In this study, it is aimed to guide in foreign investors' decisions on portfolio investment decisions by using multi-purpose decision making techniques. To this end, G7 countries were identified as investors. As countries to be invested, selected countries in the Balkans were included in the analysis. Criteria used during the analysis are economic...
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... RI values can be calculated for up to 15 dimensional matrixes. Random index values are shown in Table 2. If CR> 0.10, it is accepted that the comparison matrix is inconsistent. ...Context 2
... Tercihi Üzerine Bir Uygulama Table 9. Ratio system's ranking results (The USA example) The USA K1 K2 K3 K4 K5 K6 K7 Score Rank max max min max min min According to Table 9, Turkey is the most favorable investment country for the USA. Turkey is in the first rank for all G7 countries. ...Context 3
... calculate importance weights' values, criteria weights which determined by AHP method were used. Importance coefficient approach's ranking results can be seen in Table 12 and analysis results about G7 countries can be examined in Appendix Table 14. If Table 12 examined, ranking results for the USA is the same as reference point approach's results show that Slovakia is in the fourth rank. ...Context 4
... coefficient approach's ranking results can be seen in Table 12 and analysis results about G7 countries can be examined in Appendix Table 14. If Table 12 examined, ranking results for the USA is the same as reference point approach's results show that Slovakia is in the fourth rank. Importance weights approach's ranking results show that Turkey is in the first rank and Croatia and Bulgaria are the last rank for G7 countries to make investment. ...Citations
Multi-criteria decision-making (MCDM) methods have been widely used among researchers to provide a trade-off solution between best and worst, considering conflicting criteria and sets of preferences. An efficient and systematic literature review of these methods is needed to maintain their application in distinctive domains. To this end, this paper presents a comprehensive and systematic literature survey on “multi-objective optimization by ratio analysis” (MOORA) method and its fuzzy extensions developed and discussed in recent years. This review includes articles categorized based on the publication name, publishing year, journal name, type of applications, and type of fuzzy extensions. In addition, this review will enhance the understanding of practitioners and decision-makers on the MOORA method, its development, fuzzy hybridization, different application areas, and future work. The study revealed that the MOORA technique was predominantly used with the TOPSIS approach, followed by the AHP and COPRAS methods. Furthermore, 76.28 % use single and hybridization approaches among all MOORA studies, while 23.72 % use MOORA in a fuzzy environment.
