Multidimensional Compromise Optimization for Development Ranking of the Gulf Cooperation Council Countries and Turkey

International Journal of Information Technology

C. Ardil

关键词: Standard deviation;    performance evaluation;    multicriteria decision making;    multidimensional compromise optimization;    vector normalization;    multicriteria decision making;    multicriteria analysis;    multidimensional decision analysis.;   

DOI  :  10.1999/1307-6892/10009198

学科分类：计算机应用

来源: World Academy of Science, Engineering and Technology (W A S E T)

【 摘 要 】

In this research, a multidimensional  compromise optimization method is proposed for multidimensional decision making analysis in the development ranking of the Gulf Cooperation Council Countries and Turkey. The proposed approach presents ranking solutions resulting from different multicriteria decision analyses, which yield different ranking orders for the same ranking problem, consisting of a set of alternatives in terms of numerous competing criteria when they are applied with the same numerical data. The multiobjective optimization decision making problem is considered in three sequential steps. In the first step, five different criteria related to the development ranking are gathered from the research field. In the second step, identified evaluation criteria are, objectively, weighted using standard deviation procedure. In the third step, a country selection problem is illustrated with a numerical example as an application of the proposed multidimensional  compromise optimization model. Finally, multidimensional  compromise optimization approach is applied to rank the Gulf Cooperation Council Countries and Turkey. 

【 授权许可】

Unknown