This master thesis is dealing with development and application of a model that employs fuzzy logic. The model is used to support a decision of a selected Czech company that plans to invest abroad and establish a subsidiary. Selected indicators determine an investment risk in all countries considered for the investment. The model was implemented in parallel in two systems: MS Excel and MATLAB®.

The diploma thesis deals with flow prediction using artificial intelligence to control the storage function of the reservoir. It focuses on the control of storage function using combination of dispatching graphs and flow prediction. The work is divided into a methodological part and an application part. The methodological part contain describes how the acquisition of historical data, a description of the work of dispatching graphs and forecasting models. The application part contains flow forecasts and outflow control. A prediction model is based on the fuzzy method, and it is used to predict inflows. The calibration and validation of the prediction model is also described. Results of prediction model were evaluated. In next step the results of control method were evaluated and compared with result of dispatching graphs. The results of controlled method were satisfactory.

Modern-day terrorist attacks present a considerable danger for commercial aircrafts. This thesis analyzes potential methods of such attacks with a critical analysis of the most dangerous type: an attack from the outside of the aircraft via a fragmentation missile warhead. Such missiles cause damage to the airframe of the aircraft through fragments created by the explosion. In this thesis, analytical geometry is used to determine the area of the aircraft affected by the fragmentation. The aircraft’s geometry and the fragments’ dispersion are calculated by analytical functions, and the effect of the damage is analyzed. A shooting experiment was also carried out, in which fragments were shot at a reinforced skin panel that was manufactured according to the real design of commercial aircraft. The results of the experiment revealed that only directly hit sections of the structure are damaged. Data obtained by the experiment was then used for the creation and improvement of the model used in the simulation by means of the finite element method. This model is used for the numerical calculation of the damage sustained. Further included in the thesis is an analysis of the change in the load-bearing capacity after such an attack. The relationship between the size of the damage and its effect on the load-bearing capacity of the component as well as the entire structure is defined. First, the effect of component damage is analyzed via the FMEA/FMECA methods. This analysis is then extended using fuzzy logic. Fuzzy logic analysis is based on the determination of the size of the damaged component area and the component’s importance on the structure’s carry loads. Application of the defined approach is described for several parts of an aircraft’s life cycle, including development, operation after the terrorist attack, and assessment of causes after a crash caused by a fragmentation missile warhead.

The master’s thesis deals with Balanced Scorecard implementation within a company environment. The object of the thesis is to increase the effectiveness of strategic management which can be achieved through proper implementation of the method. The theoretical section explains the basic concepts of strategic management, followed by the description of method BSC, its implementation and risks. The practical part is focused on creating a business strategy and the model BSC implementation in particular company. As an auxiliary tool for management decision making a fuzzy model was developed and then a dialogue is held with fuzzy expert system.

Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.

Control theory of complex systems by utilization of artificial intelligent algorithms is relatively new science field and it can be used in many areas of technical practise. Best known algorithms to solved similar tasks are genetic algorithm, differential evolution, HC12 Nelder-Mead method, fuzzy logic and grammatical evolution. Complex solution is presented at selected examples from mathematical nonlinear systems to examples of anthems design and stabilization of deterministic chaos. The goal of this thesis is present examples of implementation and utilization of artificial algorithms by multi-objective optimization. To achieve optimal results is used designed software solution by multi-platform application, which used Matlab and Java interfaces. The software solution integrate every algorithms of this thesis to complex solution and it extends possible application of those approaches to real systems and practical world.

The following diploma thesis focuses on processing of uncertain information in databases. Uncertain information represents vague customer requests during laptop choice in classic shop purchasing. Effort of the work is to develop a modern e-shop application selling laptops, which is based on expert fuzzy system helping customers to choose a laptop without knowledge of technical specifications and current trends.

This thesis focuses on fuzzy neural networks. The combination of the fuzzy logic and artificial neural networks leads to the development of more robust systems. These systems are used in various field of the research, such as artificial intelligence, machine learning and control theory. First, we provide a quick overview of underlying neural networks and fuzzy systems to explain fundamental ideas that form the basis of the fields, and follow with the introduction of the fuzzy neural network theory, classification and application. Then we describe a design and a realization of the fuzzy associative memory, as an example of these systems. Finally, we benchmark the realization using the pattern recognition and control tasks. The results are evaluated and compared against existing systems.

Cielom diplomovej prace je vytvorenie expertného systému založeného na modeloch fuzzy logiky v programoch Excel a MATLAB, pomocou ktorého je možné ohodnotiť rôzne dôchodkové fondy a ďalšie finančné produkty. Vzhľadom na prehlbujúcu sa demografickú krízu, práca ponúka návrhy optimálneho investičného mixu pre tri modelové situácie s cieľom dodatočného finančného zabezpečenia počas dôchodkového veku. Práca je spracovaná pre podmienky Slovenskej republiky, podľa súčasnej situácie a platnej legislatívy.

Master´s thesis deals about problematic of fuzzy logic, fuzzy sets and operation with them. Also thesis describing procedure of quantification risks through fuzzy sets, process of fuzzyfication, defuzzyfication a theirs application in the expert systems FMEA and FMECA. Using selected chapters of czech states standards are established critical areas in building process, it is a chapters about quality, safety and environment. With these areas by using fuzzy sets theory are created the procentual input values in the decision program, created by Matlab. Output from program is decision how big the risk rate is and if is necessarily make corrective measures. A concrete example is the production of concrete goods, describing production process and composition of fresh concrete. A practical example, created by using information from real company, is a decision about the risk rate in the qualitative area.