By using the Double Frontiers Criteria, Hurwicz succeeded to achieve The Most Productive Scale Size of decision making units. This Double frontiers criteria was achieved by using two models of “CCR” in optimistic viewpoint in input form and the “CCR” model in pessimistic viewpoint in input form. In this paper, we intend to find a criteria for Double frontiers of super efficiency by using two models of super efficiency in input form and in both viewpoint of optimistic and pessimistic in such a way that conclude in Hurwicz Double frontiers of MPSS. Manuscript profile

Working capital indicators can be one of the most influential indicators in companies' financial decision-making. Therefore, research in this field can be useful. The main purpose of this study is to measure efficiency by considering working capital management indicators with the help of super-efficient data envelopment analysis models. Many researchers, including Goal et al. (2014), have used current measurements of the efficiency of working capital management indicators, despite the shortcomings of the cash conversion cycle, specifically in the cash conversion cycle. In this study, according to their idea, 21 companies active in the Iran Insurance Industry Exchange have been evaluated over a 5-year period. Periodic review can reveal information about firms' performance fluctuations as well as the relationship between changes in their rankings and changes in working capital indicators. Since this assessment is based on working capital indicators, the results will provide better opportunities for business managers, shareholders and investors to make large and partial decisions. Finally, the above method of data envelopment analysis will be compared with traditional methods. Manuscript profile

Evaluating the efficiency of low-fee loans in small businesses and comparing them with each other can be a support for strategic planning. Banks and escape from economic inflation. One of the methods of measuring efficiency is data coverage analysis. In this research, the indicators affecting the performance of low-fee loans have been researched and identified, and then the researched samples have been estimated. In three parts, the evaluation of the public institution of Resalat (Qarz Al-Hasna Resalat Bank) which is active in paying microloans has been done and in order to measure the impact of microloans on business creation, it has been compared with 9 other banks. In fact, the purpose of this research is to measure the efficiency of micro-bank facilities and its impact on the creation of micro- and home-based businesses and to identify indicators that affect micro-businesses. At the end, the steps of the research are described with a practical example Manuscript profile

Since it plays a significant role in the best choice of industry and science, it is always chosen to find the job that can be more accurate. One of these methods is the TOPSIS method.In this article, after introducing the DEA and TOPSIS methods, we will introduce the TOPSIS-DEA method and then we will expand this method for interval criteria. In this method, there is no need to know the exact weight of the qualities, and this method deals with the best option without changing the qualitative qualities. This method is a suitable method for choosing the best option when the data is an interval. And it is faster than the classic method. Manuscript profile

Data envelopment analysis (DEA) is a nonparametric approach to estimate relative efficiency of Decision Making Units (DMUs). DEA and is one of the best quantitative approach and balanced scorecard (BSC) is one of the best qualitative method to measure efficiency of an organization. Since simultaneous evaluation of network performance of the quad areas of BSC model is considered as a necessity and separate use of DEA and BSC is not effective and leads to miscalculation of performance, integrated DEA-BSC model is applied. Regarding to multi-objective nature of the proposed model, two techniques including goal programming and weighted average method are used to solve such problems. At the end of the study, based on data relating to indexes of quad areas of BSC model, the results of the mentioned methods is compared. Besides assessing validation of the proposed model, the overall efficiency and each of the different stages of BSC is obtained. So that, finding a model for decision making units in various stages of BSC is the innovation of this research study. Manuscript profile