Compressive strength is one of the most monitored parameter of hardened concrete and it is usually determinated by destructive testing. Non-destructive testing applied on existing constructions uses regression analysis to estimate compressive strength. High variability of outputs and eventually failure of necessary requirements for using regression analysis complicate these methods. The aim of this thesis is to show posibility of using fuzzy clustering in this topic and to compare outputs with classic methods.

Tato disertační práce se zaměřuje na problematiku investování a podporu rozhodování pomocí moderních metod. Zejména pokud jde o analýzu, hodnocení a výběr tzv. brownfieldů pro jejich redevelopment (revitalizaci). Cílem této práce je navrhnout univerzální metodu, která usnadní rozhodovací proces. Proces rozhodování je v praxi komplikován též velkým počet relevantních parametrů ovlivňujících konečné rozhodnutí. Navržená metoda je založena na využití fuzzy logiky, modelování, statistické analýzy, shlukové analýzy, teorie grafů a na sofistikovaných metodách sběru a zpracování informací. Nová metoda umožňuje zefektivnit proces analýzy a porovnávání alternativních investic a přesněji zpracovat velký objem informací. Ve výsledku tak bude zmenšen počet prvků množiny nejvhodnějších alternativních investic na základě hierarchie parametrů stanovených investorem.

Diplomová práce se zaměřuje na aplikace fundamentálních princip Fuzzy logiky na předvídání vybraných zákazníků pro kampaně přímého marketingu se zahrnutím fuzzy metody. Fuzzy model je navržený pro výběr zákazníků, kteří by měli být cíleni prodej předplatného schématu. Kritéria výběru jsou formulovány na bázi klientova zůstatku, věku a ročního přijmu. Postup fuzzy logiky je použit na zaměření specifických zákazníků pro předplatné produktu.

This dissertation work focusses on using information about the location of the user during the authentication process on computer networks. With the growth of mobile computer devices over the last two decades the physical location of users is becoming one of the main issues for access management. This work researches existing solutions which are divided in to two groups related to the source of location information (SATNAV systems for example GPS and based on communication with active infrastructure such as GSM, Wi-Fi). This work shows the methodology for evaluating authentication data which use the principle of fuzzy logic. In comparison with binary logic it is possible to evaluate authentication data accurately. As a result of the authentication process the information is of a higher value, which can be taken into account when setting the levels of user privileges. An important aspect of working with location information is that the user is located in the same place and from where they are asking for access to the system. Solving this question could be linking user biometrics for example finger prints. This principle is used in two types of microelectronic authentication terminals which were developed in conjunction with this work. The first type of terminal uses a SATNAV receiver and an ISM wireless communication module as a source of location information. On the first type of authentication terminal newly developed authentication techniques were tested. The users biometrics are checked by finger print sensor with embedded processing. In the second type authentication terminal a Wi-Fi and GSM module were added for location purposes. In the conclusion of this dissertation the testing methodology of the data authorization and evaluation process of the second type of microelectronic authentication terminal is shown. This confirms the practicality of the suggested methodology and the time-space information in the authentication process.

Thesis aims to find suitable method for the evaluation of entrepreneurial potential of states. Next phase is to create and implement evaluational model using that method. Output of thesis should be model implemented in two software environments - Microsoft Excel and MathWorks MATLAB.

This thesis focuses on the draft amendments for further business development in the company. Draft amendments based on findings from the analysis of the current state of IS and related processes in the company. The proposed amendments will take place requirements on the company information system and the strategic goals of the company.

The object of the following Diploma thesis was to design and test a simple and well-arranged credit tool – a Rating Model (further Model) which could be used as a preventative measure in credit policy. This rating model was designed in order to make the work of the Credit Risk Management sub-department and Rating Committee of KORADO more effective and at the same time to make more effective use of currently available internal and external data. Should the Company decide to use this Rating Model, a minimum of additional expenses would be incurred. The reader of this work will gain theoretical knowledge regarding financial analysis, credit management and fuzzy logic which is used in the calculation of a Total Rating. He/she will become acquainted with the major external agencies providing rating evaluations. As well, the reader may apprise the theoretical Rating model, including its practical use on four domestic and four overseas customers of KORADO. In conclusion there is an implementation of the Model, including a time schedule, an implementation team proposal as well as a budget of implementation and utilization costs.

This master´s thesis “The Localization of Foreign Direct Investment in the region of Middle Europe“ is focused on localization of foreign direct investment in the region of Middle Europe and possiblities of making easier localization decision. The first part of the thesis summarizes teoretical knowledge of foreign direct investment, their difinitions, typology and effects on economy. The second part is focused on the analysis of localization factors of strategic services sector. On the analysis basis, in the final part is created the model, which can be used for easier localization decision making between economies of Middle Europe. Afterwards the localization of a foreign direct investment is projected and analysed.

The dissertation thesis deals with the problem of relevant volume of natural shrinkage and accidental losses of retail stock quota calculation. In frame of the dissertation thesis, factors affecting an extent of accidental shortage of inventories in retail business are investigated here. Then, possible approaches to a calculation of relevant volume of such a quota are recognized as well. By its scope, the dissertation thesis reacts on a problem that exists within the income taxes law since 1995, but any conceptual solution of this problem is still missing. This current problem that is felt especially in retail business is right the problem of relevant volume of a quota of natural shrinkage and accidental loses calculation. The dissertation thesis is based on wide research that has been done in both, in retail businesses and on the side of tax administration too. On the basis of this research’s outcomes, the main factors affecting an extent of accidental losses of retail stock have been determined. Then these factors and evaluation of their influence became construction elements of two mathematic models for the calculation of relevant volume of a quota of natural shrinkage and accidental losses of inventories in retail business. These models are the model that is based on the statistic method of multiple regression and the model based on the fuzzy logic, respectively on the fuzzy mathematics. For the conclusion of the dissertation thesis, both models are discussed from the point of their relevance as well as from the view of their practical application. Theoretical and practical contributions of the dissertation thesis are also concluded here along with an outline of possible future research in this area.

In our region, heavy rains may occur virtually everywhere. Nowadays there are instruments to predict these events in sufficient advance, but without precise localisation, which is a problem. Present instruments for searching endangered watersheds are focused on operative evaluation of meteorological situation and actual precipitation forecast processing (nowcasting). The thesis brings quite different approach. Potentially endangered areas are detected with evaluation of long-term statistical variables (N-year discharges and rain characteristics) and properties of specific watershed. The whole issue is handled out of situation of actual danger, this attitude is so called off-line solution. The thesis describes a model based on selected artificial intelligence methods. The model forms the core of final map application. The use of model and final application is supposed to be used in area of preventive flood protection, and related investment decision-making. The model focuses on heavy rains and flash floods.