The master thesis deals with managerial decision-making, more specifically with the multi-criteria evaluation of alternatives under risk for the GAMACZ.CZ company, which currently solves problem of low profitability. The aim of the thesis is to define the decision-making objective(s), determine the set of evaluation criteria, identify potentially successful alternatives, determine their impacts and finally evaluate alternatives and recommend the most suitable one for the company. For the purpose of the multi-criteria evaluation with risk integration the author uses the Weighted Sum Approach. On the basis of these methods the most suitable option together with suggestions of implementation are proposed to the company and the reality check is executed.

The aim of this paper is the application of the multi criteria decision making theory in collective investment. The theoretical part of paper describes the financial and capital market, collective investment and its history, association for capital market AKAT, multi-criteria decision making methods and basic portfolio theory. The practical application of the theory is application of multi criteria decision making methods to real data in two phases: the effective alternatives selection and multiple objective programming portfolio selection for different investor types.

The main objective of my diploma thesis is multidimensional data analysis. Analyzed data come from the comparative research Město pro byznys 2013 (Eng. translation: The city for business 2013). Another goal is to propose some changes that could improve the project. Used methods for multidimensional data analysis are exploratory analysis, principal component analysis, factor analysis and cluster analysis. Among others, for proposing some changes I use multi-criteria decision analysis.

The diploma thesis deals with financial planning using the multi-criteria methods for evaluation of alternatives. The theoretical part of this work includes basic phrases of multicriteria decision making, there are concretely described the methods with the cardinal information and methods of calculation of the criteria weights. There are also exactly written the procedures how to realize mortgage loans. The reader is informed with problems of target programming and basic financial and insurance patterns. The core of this thesis is chapter four. The beginning of the fourth chapter is focused on the selection of appropriate criteria and the assignment of their weights. Most calculations are made with help of the Sanna MS Excel add-in application. Finally the author formed the financial portfolio by using software Lingo. There are established two investment options and these options are compared. The main objective of this thesis is to compare which of these two chosen options is more profitable in the long run.

The purpose of thesis is to design measurment system of productivity in SME (real company Mironet.cz from It sector). The theoretical part consists of a description of the applied methodology and description of the company itself. The practical part focuses directly on the strategic analysis including identification of strengths and weaknesses , opportunities and threats. It is followed up setting strategic objectives for each perspective of the Balanced Scorecard , strategic mind-map creation and establishing scales individual sub- strategic objectives. The end of thesis consider possible applications of the Balanced Scorecard.

The thesis deals with the evaluation of the economic faculties of the universities in the Czech Republic using the WSA, TOPSIS and ELECTRE III methods. The theoretical part of the work describes the theory of multi-criteria decision making and focuses on the methods with the cardinal information and methods of calculation of the criteria weights. This part of the work is further devoted to the methodology of the world's most recognized rankings and evaluations of economic faculties in the Czech Republic. The practical part deals with the selection of appropriate criteria, the determination of their scales and evaluation of faculties using the Sanna MS Excel add-in application. In the scope of the sensitivity of the evaluation depending on the change in the weights of the criteria there is drawn up a questionnaire for students of schools with economic focus. The primary purpose is to create an objective ranking of economic faculties. The secondary aim of this work is to assess the sensitivity of the order of the faculties on the method used to calculate the weights of the criteria and on change of the weighting of the criteria itself.

This dissertation work focuses on renovation of carriage stock of PRP logistics s.r.o with the use of TOPSIS method. The work describes the main law regulations in truck transportation, law modification of its enterprising as well as theoretical basis of multicriteria analysis. It specifically deals with the description and analysis of company's carriage stock, a part of the work is also a detailed definition of particular steps taken within TOPSIS method, including calculations. This work consists of two parts -- theoretical and practical.

This thesis focuses on the efficiency and performance analysis of higher education in the Czech Republic. The theoretical part deals with interpretation of methods, which are then used in the practical part. These methods are data envelopment analysis (DEA) and methods of multi-criteria evaluation with cardinal information on criteria. Another important chapter of the theoretical part is the chapter about the most famous world rankings of universities and practice in this field in the Czech Republic. The practical part is divided into two sections. The first deals with the analysis of the efficiency of economic faculties on public universities in the Czech Republic from 2011 to 2013. The second one is aimed at the creation of a ranking of these faculties for 2015 using the methods of multi-criteria evaluation.

This work is dealing with portfolio optimization of stocks available on Czech RM-SYSTEM stock. The optimization is done by multiple criteria decision. In first two chapters there are description of theory of capital market, stock market and stock markets which are on Czech market. The practical part is the main important part of the work. The practical part deals with optimization of portfolio of stocks which are available on Czech stock market. Main goal of this work is to show possibility of creating portfolio of stocks by multiple criteria decision methods.

Recommender systems support online customers by suggesting products and services of likely interest to them. Research in recommender systems is now starting to recognise the importance of multiple selection criteria and the role of customer context in improving the recommendation output. This thesis investigates the inclusion of criteria and context information in the recommendation process. Firstly, a novel technique for multi-criteria recommendation is proposed. It assumes that some selection criteria for an item (product or a service) will dominate the overall rating, and that these dominant criteria will be different for different users. Following this assumption, users are clustered based on their criteria preferences, creating a “preference lattice”. The recommendation output for a user is then based on ratings by other users from the same or nearby clusters. Secondly, a context similarity metric for context aware recommendation is presented. This metric can help improve the prediction accuracy in two ways. On the one hand, the metric can guide the aggregation of the feedback from similar context to improve the prediction accuracy. This aggregation is important because the recommendation generation based on prior feedback by similar customers reduces the quantum of feedback used, resulting in a reduction in recommendation quality. On the other hand, the value returned by the context similarity metric can also be used to indicate the importance of the context information in the prediction process for a context aware recommendation.The validation of the two proposed techniques and their applications are conducted in the service domain because the relatively high degree of user involvement attracts users to provide detailed feedback from multiple perspectives, such as from criteria and context perspectives. In particular, hotel services and web services areas are selected due to their different levels of maturity in terms of users’ feedback. For each area, this thesis proposes a different recommendation approach by combining the proposed techniques with a traditional recommendation approach. The thesis concludes with experiments conducted on the datasets from the two aforementioned areas to evaluate the proposed techniques, and to demonstrate the process and the effectiveness of the techniques-based recommendation approaches.