@article{(Open Science Index):https://publications.waset.org/pdf/10009981,
	  title     = {Multicriteria Decision Analysis for Development Ranking of Balkan Countries },
	  author    = {C. Ardil},
	  country	= {},
	  institution	= {},
	  abstract     = {In this research, the Balkan peninsula countries' developmental integration into European Union represents the strategic economic development objectives of the countries in the region. In order to objectively analyze the level of economic development competition of Balkan Peninsula countries, the mathematical compromise programming technique of multicriteria evaluation is used in this ranking problem. The primary aim of this research is to explain the role and significance of the multicriteria method evaluation using a real example of compromise solutions. Using the mathematical compromise programming technique, twelve countries of the Balkan Peninsula are economically evaluated and mutually compared. The economic development evaluation of the countries is performed according to five evaluation criteria forming the basis for economic development evaluation. The multiattribute model is solved using the mathematical compromise programming technique for producing different Pareto solutions. The results obtained by the multicriteria evaluation gives the possibility of identification and evaluation of the most eminent economic development indicators for each country separately. Finally, in this way, the proposed method has proved to be a successful model for the evaluation of the Balkan peninsula countries' economic development competition.
},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {12},
	  number    = {12},
	  year      = {2018},
	  pages     = {1118 - 1125},
	  ee        = {https://publications.waset.org/pdf/10009981},
	  url   	= {https://publications.waset.org/vol/144},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 144, 2018},
	}