Identifying the relative efficiency of banks, using the data envelopment analysis and fuzzy multi-attribute decision-making approach (Case Study: The Bank accepted in the Tehran Stock Exchange)

Subject Areas : Journal of Investment Knowledge

Golnar Golbazkhanin pour ¹ , Ali Fazel Yazdi ² , Mohamad Hosein Tahari Mehrjardi ³

1 - M.S, Accounting, IslamicAzad University, YazdBranch
2 - M.S, Accounting, IslamicAzad University, YazdBranch
3 - M.S, Industrial Management, Jahad Daneshgahi Institute

Received: 2013-05-08 Accepted : 2013-08-21 Published : 2013-08-21

Keywords: Performance evaluation, fuzzy analysis hierarchical pr, Data Envelopment Analysis, Bank accepted in the Tehran St, performance index,

Abstract :

Financial and monetary institutions and particularly the commercial banks, is important for direction and significant influence on economic and social development of countries. Thus it seems necessary and logical the model provides for feedback to improve performance in various branches of the organization and access tools to meet the needs of managers.In order to above requirements, this research intends to use the appropriate model for evaluating the performance of banks in the Tehran Stock Exchange, in order to identify the efficient and inefficient banks in exchange, and provide the competitors' strategies appropriate for to improve performance the inefficient banks and enhance more the performance efficient banks. In this study the experience of using the combination model of data envelopment analysis and fuzzy multi-attribute decision-making for assessing the performance of Bank adopted in the Tehran Stock Exchange, effort to using the technique of hierarchical fuzzy process to identify the final input and output for of The relative performance of  bank adopted in the Tehran stock exchange, and then collect the relevant information, can be measured the efficiency of these units using data envelopment analysis models. While each of these cases, studiedthe sensitivity analysis of input and output and complete ranking of banks for each of the years using cross-efficiency evaluation method.