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Financial instruments - securities
Skořepa, Pavel ; Novotný, Štěpán (referee) ; Meluzín, Tomáš (advisor)
This work deals with the tools of financial market. It is demonstrated to a reader, what is the financial market composed from, how it actually works and what are the characteristics of securities, why the securities are used, what are the advantages and disadvantages. We are going to focus on field of mutual funds, as a part of collective investment. Thanks to investment questionary is made a research to find out which strategy is prefered by citizens. We are going to suggest the optimal financial portfolio to this strategy by the program GRANT. We are going to use the fuzzy logic characteristic and we are going to show to the investor how can he choose the suitable invesment tools to his portfolio according to his requierements.
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The Application of Fuzzy Logic for Rating of Suppliers for the Firm
Jančíková, Iva ; Pivoda, Jan (referee) ; Dostál, Petr (advisor)
This Diploma thesis analysis the supply environment of VKV HORÁK s.r.o. according to the requirements of the quality management ISO 9001:2001 regarding the suppliers rating. The thesis also analyses the present way of suppliers rating and brings new, more sofisticated model of rating using the fuzzy logic. The new method should succesfully solve the questions of suppliers rating and should be suitable for the firm according to the resources needed for its application.
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Fuzzy Neural Networks for Pattern Classification
Ollé, Tamás ; Raida, Zbyněk (referee) ; Vágnerová, Jitka (advisor)
Práce popisuje základy principu funkčnosti neuronů a vytvoření umělých neuronových sítí. Je zde důkladně popsána struktura a funkce neuronů a ukázán nejpoužívanější algoritmus pro učení neuronů. Základy fuzzy logiky, včetně jejich výhod a nevýhod, jsou rovněž prezentovány. Detailněji je popsán algoritmus zpětného šíření chyb a adaptivní neuro-fuzzy inferenční systém. Tyto techniky poskytují efektivní způsoby učení neuronových sítí.
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Evaluation of complex situations from airplane’s avionics
Vysloužil, Ondřej ; Svoboda,, Jiří (referee) ; Honzík, Petr (advisor)
Tento projekt se podrobně zaměřuje na data z avioniky a může být chápán jako horní vrstva nad systémy monitorujícími poruchy, která poskytuje dodatečné informace o letu. Pro konkrétní návrh byly vybrány Airbus A320 a A340 jako zástupci moderních a rozšířených dopravních letadel. Vyvíjená aplikace analyzuje dvě vybrané komplexní situace z toku dat palubní avioniky a hledá podmínky, které vedou k abnormálnímu chování letadla (nikoliv poruchám). Práce je primárně zaměřena na letové fáze, strukturu dat (a jejich kategorizaci) a na vývoj aplikace na bázi fuzzy systému s expertní znalostí uloženou v jeho pravidlech.
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Integrated development environment for Artificial Intelligence Fuzzy Numbers Module
Pergl, Miroslav ; Hrabec, Jakub (referee) ; Jirsík, Václav (advisor)
Master’s thesis deals with mathematical operation with fuzzy numbers. The first part of the thesis deals with theoretical knowledge of fuzzy arithmetic and defines fuzzy sets, fuzzy numbers, universum and five membership function used in program. In the concrete it describes – cut method for dealing with fuzzy numbers as with limited interval for specific level which simplifies computation. The second part of the thesis contains description of programmed module for mathematical operation with fuzzy numbers. There is described creation of user interface which is using to set parameters of computation. There are also described support functions which make operation with fuzzy numbers possible and operation ensures output.
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Classification of microsleep by means of analysis EEG signal
Ronzhina, Marina ; Smital, Lukáš (referee) ; Čmiel, Vratislav (advisor)
This master thesis deals with detection of microsleep on the basis of the changes in power spectrum of EEG signal. The results of time-frequency analysis are input values for the classifikation. Proposed classification method uses fuzzy logic. Four classifiers were designed, which are based on a fuzzy inference systems, that are differ in rule base. The results of fuzzy clustering are used for the design of rule premises membership functions. The two classifiers microsleep detection use only alpha band of the EEG signal’s spectrogram then allows the detection of the relaxation state of a person. Unlike to first and second classifiers, the third classifier is supplemented with rules for the delta band, which makes it possible to distinguish the 3 states: vigilance, relaxation and somnolence. The fourth classifier inference system includes the rules for the whole spectrum band. The method was implemented by computer. The program with a graphical user interface was created.
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Fuzzy Petri Nets for Expert systems
Maksant, Jindřich ; Valenta, Jan (referee) ; Jirsík, Václav (advisor)
The object of this thesis is proposal and practical implementation of expert system, whose knowledge base will be modeling by fuzzy Petri nets. The proposal is based on knowledge in theoretical analysis of diagnostic expert system and fuzzy Petri nets. This proposal is realised in programming language C#. There are described functions of program and it is made a model consultation with using two different knowledge base.
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