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National Repository of Grey Literature 2 records found  Search took 0.01 seconds. 
The evaluation of quality of life by data envelopment analysis models
 Mysan, Anastasia ; Jablonský, Josef (advisor) ; Dlouhý, Martin (referee)
This bachelor thesis describes basic models of data envelopment analysis and focuses on their application for the evaluation of quality of life in the regions of the Czech Republic. The homogeneous decision-making units are set to be the individual districts. The first part of the thesis describes the essence of data envelopment analysis and specific models determining efficiency and super efficiency. The second part contains some characteristics of the concept of quality of life from different points of view and there are listed indicators for measuring the quality of life. The aim is to analyze the effectiveness of districts, according to selected economic and non-economic measurable characteristics of quality of life. Comparing districts according to their effectiveness can identify their weaknesses and factors limiting regional development.
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Methods for ranking efficient units in data envelopment analysis
 Gőtz, Ondřej ; Jablonský, Josef (advisor) ; Chrobok, Viktor (referee)
This thesis focuses on the theory of models, data envelopment analysis and subsequent methods in ranking of obtained efficient units. The thesis is divided into three main parts. The first part describes the basic theoretical background of data envelopment analysis for different situations of inputs and outputs. It also contains basic information on specific models of CCR, BCC and SBM, including illustrative examples of their function. In the second part these models are adapted for use in the overall layout of production units which are the models of super efficiency and cross efficiency. Both methods include the description of the basic principles of their functioning. The aim is to compare the results of the various types of ranking using a practical example. This is included in the last part of the thesis. This chapter compares the results obtained using the models mentioned above. Data of the S & L branches were used as the input values for this work.
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