Overall bank performance in a particular year or period is important to all banking industry stakeholders,as it indicates their success or failure relative to predetermined targets.Due to conflicting criteria and unce...Overall bank performance in a particular year or period is important to all banking industry stakeholders,as it indicates their success or failure relative to predetermined targets.Due to conflicting criteria and uncertainties,assessing bank performance is a complicated decision-making problem.The current paper proposes the Fuzzy Level Based Weight Assessment(F-LBWA),the Fuzzy Logarithm Methodology of Additive Weights(F-LMAW),and the Measurement Alternatives and Ranking according to the Compromise Solution(MARCOS)combination as a practical and robust decisionmaking tool to cope with many complex ambiguities.In the first phase,the suggested hybrid Multi-Criteria Decision-Making(MCDM)approach estimates the weight coefficients of the performance criteria with the aid of a combined version of the F-LBWA and F-LMAW methods.In the second phase,the MARCOS method determines the ranking performance of the decision alternatives.The introduced model is tested and validated on a case study assessing publicly traded bank performance in Pakistan.The findings obtained from the sensitivity analysis revealed that the presented F-LBWAF-LMAW-MARCOS approach produces consistent solutions and is a reliable and effective procedure in rational decision-making.展开更多
文摘Overall bank performance in a particular year or period is important to all banking industry stakeholders,as it indicates their success or failure relative to predetermined targets.Due to conflicting criteria and uncertainties,assessing bank performance is a complicated decision-making problem.The current paper proposes the Fuzzy Level Based Weight Assessment(F-LBWA),the Fuzzy Logarithm Methodology of Additive Weights(F-LMAW),and the Measurement Alternatives and Ranking according to the Compromise Solution(MARCOS)combination as a practical and robust decisionmaking tool to cope with many complex ambiguities.In the first phase,the suggested hybrid Multi-Criteria Decision-Making(MCDM)approach estimates the weight coefficients of the performance criteria with the aid of a combined version of the F-LBWA and F-LMAW methods.In the second phase,the MARCOS method determines the ranking performance of the decision alternatives.The introduced model is tested and validated on a case study assessing publicly traded bank performance in Pakistan.The findings obtained from the sensitivity analysis revealed that the presented F-LBWAF-LMAW-MARCOS approach produces consistent solutions and is a reliable and effective procedure in rational decision-making.
