Multi-Attribute Decision Making
Rouhollah Kiani Ghaleh no
Abstract
In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance ...
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In the last decade, multi-criteria decision making methods have been used extensively to evaluate multiple units with similar task descriptions. One of the most widely used methods, which is based on mathematical principles, is the TOPSIS method. ranking mechanism in TOPSIS method based on performance distance measurement is from positive ideal and negative ideal and the existence of Outlier-data can have a negative impact on the calculations. in this study the modification of TOPSIS method so that Be able to control Outlier-data, is on the agenda. For this purpose modified algorithm TOPSIS method is introduced. With the aim of validating the proposed algorithm, the performance of 1951 branches of agri-Bank in the case study section has been evaluated and the results have been compared with the standard TOPSIS method. Calculation of the modified TOPSIS method by considering different coefficients of data scatter control and examination of the correlation coefficients show that the modified TOPSIS method has been able to control Outlier data well.
Data Envelopment Analyses
Abbas Jahangiri
Abstract
Data Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficiency of Decision Making Units (DMUs). The purpose of this paper was the systematic study of applying this technique in Iran Banking System. In this systematic review that was conducted on September 2017, initially ...
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Data Envelopment Analysis (DEA) is a mathematical model that evaluates the relative efficiency of Decision Making Units (DMUs). The purpose of this paper was the systematic study of applying this technique in Iran Banking System. In this systematic review that was conducted on September 2017, initially by searching keywords in scientific databases attempted to search the research has been conducted about DEA in Iranian banks regardless of the time of publication that a total of 409 research was found. Then 349 researches were removed from the study because of the irrelevant, repetitive and inaccessibility to the full text. Then attempted to statistical analysis of 60 remaining researches via Excel 2010 software. 80 % of the researches were published in 2009 onwards. Most research has been conducted in Tehran Province and Melli and Saderat banks. The variety of choices outputs and inputs indexes was very high. In 36.7 % of researches; the input-oriented model has used also in 36.7% of researches constant returns to scale is assumed. The results showed that although the interest of Iranian researchers in this field has increased, each with a particular view has analyzed the efficiency of the banks and have achieved different results.