%0 Journal Article
%T Countries credit ranking: a simple weighted non-linear programming model
%J Annals of Optimization Theory and Practice
%I Firouzabad Institute of Higher Education
%Z 2588-3666
%A Niroomand, Sadegh
%D 2018
%\ 11/01/2018
%V 1
%N Issue 3 & 4
%P 1-13
%! Countries credit ranking: a simple weighted non-linear programming model
%K Country credit ranking
%K Country credit rating
%K Weighted additive model
%K Non-linear model
%R 10.22121/aotp.2018.68822
%X In this study a non-linear weighted sum model is proposed to rank countries based on economic factors. This ranking problem could be new and useful as most of previous researches rated countries not rank them. The countries are ranked from the best to the worst one by their score obtained by the model from credit point of view. As an advantage of the model, it is solvable by an analytical solution method manually instead of using optimization software. The analytical solution is useful for managers and decision makers to apply the model easily. The obtained ranking is compared with Moody’s rating to discuss the efficiency of the model.
%U http://aotp.fabad-ihe.ac.ir/article_68822_9a0b267867b945142715f3060d11f966.pdf