This thesis is concerned with problematics of multi-criteria decision making, especially method DEMATEL, its modifications and combinations with another methods. There is description of particular steps of this methods and selected theory from various areas, which is used in these methods. In every chapter we can find theoretical explanation of these methods, description of their steps and afterwards these theoretical findings are applied on numerical example. Firstly, the crucial method is introduced. Then this thesis is concerned with its adjustments based, on different approaches, which are often used not only in decision making. In the end, all these findings are aggregated and new method is founded.

The thesis is concerned with Multi-Criteria Decision Making, in particular the Analytic Network Process method. The introductory part is dedicated to compile all the theory necessary to understand the method and utilized throughout the paper. The Analytic Hierarchy Process method is described and later generalized in the form of the ANP. Part of the paper is a description of available software products that are able to solve the ANP models. The main focus is on the application of the method, the usability and efficiency of possible use in macroeconomics is tested. In the third chapter a macroeconomic forecasting model is developed in cooperation with experts. The results of this model are compared with the best available up-to-date forecasts by local and international institutions.

In today's world there are many different substitutes for most products and services, increasing the demands on decision-making among substitutes. In order to make a decision, it may be very helpful to use multi-criterial methods for evaluating of the options, which are available to the general public through special programs. Thank to these programs, the general public does not have to be informed in detail about multi-criterial methods and can use the convenience of multi-criteria analysis. The aim of this thesis is to describe and compare the publicly available noncommercial czech software that allows the simplification of choice when choosing from several options according to specified criteria. The thesis work is focused on discrete models of evaluation that are simpler and more suitable for pre-defined alternatives. Non-commercial programs, many of which were created at universities, are evaluated in this thesis. Furthermore, some very well-known evaluation methods, which appear in some programs, are presented.

The topic of these Thesis is the use of the multi-criteria methods at budgeting the expenditure side of the state budget. The first chapter of the thesis describes in detail the ex ante analysis as a support tool for decisions on public expenditure and also the economy, efficiency and effectiveness as the criteria for the ex ante and ex post analysis of the public expenditure of the state budget. Furthermore, I describe here analysis of decision making, specifically the individual elements and the structure of decision-making process.The second chapter focuses on various methods of quantification of the weight of the criteria and the methods of multi-criterial decision. In the third, final chapter, I apply the methods described in second chapter to a specific example.

Within the last decade, wind power has faced a strong expansion in Sweden, supported by national policies. However, when wind power projects are to be developed, a series of legal difficulties, opposing land-use interests and resistance often arise, hindering their implementation on a local level. To bypass such difficulties, the Swedish government has invited municipalities to localise suitable areas for wind power development in their comprehensive plans. By adopting this proactive approach, different interests and views can be implemented in an early stage of the planning process, possibly reducing the risk of land-use issues and local resistance.The Municipality of Kiruna is currently updating its comprehensive plan and wind power is among the planning issues to be further investigated. Therefore, this thesis aims to combine GIS and multi-criteria decision making to support wind power spatial planning in Kiruna Municipality by exploring environmental, economic and social constraints and criteria under different planning scenariosTherefore, a spatial multi-criteria decision analysis is implemented to promote wind power localisation and at the same time, to prevent possible detrimental consequences. Swedish legislation, guidelines issued by national agencies and wind power planning practices are implemented to delimit areas feasible or unfeasible for wind power development. Then, the localisation process within feasible areas is guided by a set of social, economic and environmental criteria reflecting land-use interests typical of Kiruna Municipality. Weights, steering the relevance of the different criteria in the process, are then developed on the basis of three planning scenarios of future development for the Nordic Arctic.The results of the analysis show that approximately 90% of the territory of Kiruna Municipality is not feasible for wind power development. In particular, low wind speeds and areas of interest for defence are constraints excluding large portions of the municipal territory. Among the feasible areas, it is particularly complex to identify locations which are not located within areas of interest for reindeer herding or national interest for undisturbed mountainous environment and that have an adequate distance from existing electric grids. Nevertheless, the planning scenarios pinpoint suitable locations for wind power development in northeastern Kiruna, in proximity of Karesuando.

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 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 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.