会议专题

Ranking Fragile States for Support Facility: A Fuzzy Topsis Approach

  Countries described as fragile states need timely sustained assistance to help rebuild basic infrastructure and institutions.However,with available funds becoming limited and number of fragile states increasing,competition for such assistances have also become intense.To select countries for the fragile states support facility,a number of unquantifiable criteria are used by the African and Asian Development banks to select countries eligible for such supports.This paper uses fuzzy TOPSIS to provide an alternative to the African Development Bank(AfDB)selection method to choose deserving countries for the fragile states support facility.A numerical example based on pre-defined triangular fuzzy numbers(TFN)is used to demonstrate how selection and rankings of such countries can be carried out.The proposed method can deepen transparency and fairness in the way the bank selects countries for the support facility.

Fragile states development banks fuzzy TOPSIS support facility evaluation model,multi-criteria decision making

Eric Afful-Dadzie Stephen Nabareseh Zuzana Komínková Oplatková Petr Klímek

Faculty of Applied Informatics Tomas Bata University Zlin,Czech Republic Faculty of Management & Economics Tomas Bata University Zlin,Czech Republic

国际会议

The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

厦门

英文

263-269

2014-08-19(万方平台首次上网日期,不代表论文的发表时间)