During efficiency evaluating by DEA, the inputs and outputs of DMUs may be intervals because of insufficient information or measure error. For this reason, interval DEA is proposed. To make the efficiency scores more ...During efficiency evaluating by DEA, the inputs and outputs of DMUs may be intervals because of insufficient information or measure error. For this reason, interval DEA is proposed. To make the efficiency scores more discriminative, this paper builds an Interval Modified DEA (IMDEA) model based on MDEA. Furthermore, models of obtaining upper and lower bounds of the efficiency scores for each DMU are set up. Based on this, the DMUs are classified into three types. Next, a new order relation between intervals which can express the DM’s preference to the three types is proposed. As a result, a full and more convictive ranking is made on all the DMUs. Finally an example is given.展开更多
Data envelopment analysis (DEA) has become a standard non parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it ...Data envelopment analysis (DEA) has become a standard non parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it can solve the prediction problem with multiple inputs and outputs which can not be solved easily by the regression analysis method.But the traditional DEA models can not solve the problem with undesirable outputs,so in this paper the inherent relationship between goal programming and the DEA method based on the relationship between multiple goal programming and goal programming is explored,and a mixed DEA model which can make all factors of inputs and undesirable outputs decrease in different proportions is built.And at the same time,all the factors of desirable outputs increase in different proportions.展开更多
This paper discusses the analysis done on the meteorological ocean buoy mooring used for monitoring the Indian seas. Based on the extreme environmental parameters experienced by the buoys, mooring loads are analyzed u...This paper discusses the analysis done on the meteorological ocean buoy mooring used for monitoring the Indian seas. Based on the extreme environmental parameters experienced by the buoys, mooring loads are analyzed using offshore dynamic analysis software. The results obtained are validated with the tension recorder installed in one of the moorings, and the results are found to comply with an accuracy of better than 1%. The successful on demand performance of the mooring during major cyclones in the Bay of Bengal and the vital meteorological and oceanographic information provided by the buoy during these disastrous cyclonic events validates the mooring design, and proves the data availability for societal needs. The time critical data assimilated in the cyclone prediction models have given confidence to improve the country＇s weather prediction and climate modelling capabilities.展开更多
The analysis of principal data on Chinese banks highlights how they are exposed to credit risk, primarily generated from loans to public companies. Chinese banks have a good capital provision; The analysis of economic...The analysis of principal data on Chinese banks highlights how they are exposed to credit risk, primarily generated from loans to public companies. Chinese banks have a good capital provision; The analysis of economic data describes a system oriented towards relationship lending; The average profitability per employee shows wide margins of improvement in terms of efficiency and technological equipment. The comparison with the case of Italy, which like China can be considered an economy heavily oriented to banking intermediation, it is useful to highlight some peculiarities of the Chinese banking system.展开更多
Based on the background of vendors＇ selection in supply chain management, the theory of entropy is adopted to filter the criteria. With the combination of data envelopment analysis（DEA） model, it can not only to el...Based on the background of vendors＇ selection in supply chain management, the theory of entropy is adopted to filter the criteria. With the combination of data envelopment analysis（DEA） model, it can not only to eliminate the exclusive information of criteria, but it can keep the advantages of DEA model as well, which can conveniently conduct to automatic data collection and going on an objective evaluation of the priority of vendors.展开更多
A concept of AHP restraint cone is firstly introduced, and then a DEA model with an AHP restraint cone is imposesed. This model not only remains all the characteristics of the conventional DEA model, but also reflects...A concept of AHP restraint cone is firstly introduced, and then a DEA model with an AHP restraint cone is imposesed. This model not only remains all the characteristics of the conventional DEA model, but also reflects preference of the decision maker. Some relationships between DEA model and AHP method, on the condition that the judgement matrixes in AHP are completely consistent, is discussed in this paper. Finally, a case study is provided to evaluate 20 junior middle schools of a city in China.展开更多
文摘During efficiency evaluating by DEA, the inputs and outputs of DMUs may be intervals because of insufficient information or measure error. For this reason, interval DEA is proposed. To make the efficiency scores more discriminative, this paper builds an Interval Modified DEA (IMDEA) model based on MDEA. Furthermore, models of obtaining upper and lower bounds of the efficiency scores for each DMU are set up. Based on this, the DMUs are classified into three types. Next, a new order relation between intervals which can express the DM’s preference to the three types is proposed. As a result, a full and more convictive ranking is made on all the DMUs. Finally an example is given.
文摘Data envelopment analysis (DEA) has become a standard non parametric approach to productivity analysis, especially to relative efficiency analysis of decision making units (DMUs). Extended to the prediction field, it can solve the prediction problem with multiple inputs and outputs which can not be solved easily by the regression analysis method.But the traditional DEA models can not solve the problem with undesirable outputs,so in this paper the inherent relationship between goal programming and the DEA method based on the relationship between multiple goal programming and goal programming is explored,and a mixed DEA model which can make all factors of inputs and undesirable outputs decrease in different proportions is built.And at the same time,all the factors of desirable outputs increase in different proportions.
文摘This paper discusses the analysis done on the meteorological ocean buoy mooring used for monitoring the Indian seas. Based on the extreme environmental parameters experienced by the buoys, mooring loads are analyzed using offshore dynamic analysis software. The results obtained are validated with the tension recorder installed in one of the moorings, and the results are found to comply with an accuracy of better than 1%. The successful on demand performance of the mooring during major cyclones in the Bay of Bengal and the vital meteorological and oceanographic information provided by the buoy during these disastrous cyclonic events validates the mooring design, and proves the data availability for societal needs. The time critical data assimilated in the cyclone prediction models have given confidence to improve the country＇s weather prediction and climate modelling capabilities.
文摘The analysis of principal data on Chinese banks highlights how they are exposed to credit risk, primarily generated from loans to public companies. Chinese banks have a good capital provision; The analysis of economic data describes a system oriented towards relationship lending; The average profitability per employee shows wide margins of improvement in terms of efficiency and technological equipment. The comparison with the case of Italy, which like China can be considered an economy heavily oriented to banking intermediation, it is useful to highlight some peculiarities of the Chinese banking system.
基金This project is supported by the Natural Science Foundation of Guaugdong Province（5006061）
文摘Based on the background of vendors＇ selection in supply chain management, the theory of entropy is adopted to filter the criteria. With the combination of data envelopment analysis（DEA） model, it can not only to eliminate the exclusive information of criteria, but it can keep the advantages of DEA model as well, which can conveniently conduct to automatic data collection and going on an objective evaluation of the priority of vendors.
文摘A concept of AHP restraint cone is firstly introduced, and then a DEA model with an AHP restraint cone is imposesed. This model not only remains all the characteristics of the conventional DEA model, but also reflects preference of the decision maker. Some relationships between DEA model and AHP method, on the condition that the judgement matrixes in AHP are completely consistent, is discussed in this paper. Finally, a case study is provided to evaluate 20 junior middle schools of a city in China.
