Investments Attractiveness via Combinatorial Optimization Ranking

World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering Pub Date : 2013-09-06 DOI:10.5281/ZENODO.1088218

Ivan Mustakerov, D. Borissova

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引用次数: 4

Abstract

The paper proposes an approach to ranking a set of potential countries to invest taking into account the investor point of view about importance of different economic indicators. For the goal, a ranking algorithm that contributes to rational decision making is proposed. The described algorithm is based on combinatorial optimization modeling and repeated multi-criteria tasks solution. The final result is list of countries ranked in respect of investor preferences about importance of economic indicators for investment attractiveness. Different scenarios are simulated conforming to different investors preferences. A numerical example with real dataset of indicators is solved. The numerical testing shows the applicability of the described algorithm. The proposed approach can be used with any sets of indicators as ranking criteria reflecting different points of view of investors. Keywords—Combinatorial optimization modeling, economics investment attractiveness, economics ranking algorithm, multicriteria problems.

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通过组合优化排序的投资吸引力

考虑到投资者对不同经济指标重要性的看法，本文提出了一种对一组潜在投资国家进行排名的方法。为此，提出了一种有助于理性决策的排序算法。该算法基于组合优化建模和重复多准则任务求解。最后的结果是根据投资者对经济指标对投资吸引力的重要性的偏好排名的国家名单。根据不同的投资者偏好，模拟不同的情景。求解了一个实际指标数据集的数值算例。数值试验表明了该算法的适用性。所提出的方法可以与任何一组指标一起使用，作为反映投资者不同观点的排名标准。关键词:组合优化建模，经济投资吸引力，经济排序算法，多准则问题。

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World Academy of Science, Engineering and Technology, International Journal of Social, Behavioral, Educational, Economic, Business and Industrial Engineering

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