angličtina

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The student obtains the knowledge of theory of fuzzy logic, artificial neural network, genetic algorithms and theory of chaos. He/she will be able to understand of the use of the above mentioned methods in business and management, to encourage the use of the above mentioned methods in practice, to analyze critically the business and economic processes by the methods of fuzzy logic, artificial neural network, genetic algorithms and theory of chaos.

The basic knowledge of mathematics.

Výuka probíhá formou přednášek, které mají charakter výkladu základních principů, metodologie dané disciplíny a problémů. Cvičení podporují zejména praktické ovládnutí látky vyložené na přednáškách.

The exam will be granted in case of handing in the final assignment, that will be processed in Excel file solving decision making problem with the help of fuzzy logic. The exam will be classified according ECTS. The way of implementation is in the form of written form pointed within the range 0-20 points. A-20-19;B18-17;C16-15;D14-13;E12-;F10-0.

1. Introduction
2-3. Fuzzy logic (FL): To be familiar with the basic notions and fuzzy logic rules, creation of models. The presentation of cases of application in decision making processes e.g. managerial and investment decision making, prediction, etc.
4-5. Artificial neural networks (ANN): To be familiar with the basic notions in the area of artificial neural networks, presentation of the notation perceptron, multilayer neural network and their parameters. The applications cover investment decision making, estimations of the price of products, real properties, evaluation of value of client, etc.
6-7. Genetic algorithms (GA): To be familiar with the principles of genetics, the analogy between nature and math description that enables the solution of decision making of problems. The use in the area of optimization of wide spectrum of problems is mentioned - the optimization of investment strategy, production control, cutting plans, curve fitting, the solution of traveling salesman, cluster analyses, etc.
8-9. The theory of chaos: The theory deals with the possibilities of better description of economic phenomena than the classical methods do. The notion chaos, order and fractal are clarified, the use of this is mentioned.
10-11. The use of FL, ANN and GA in the field of prediction, stock market, data mining, risk management, decision making etc. To be familiar with the problems and the way of the use of mentioned methods.
12-13. Simulation: The presentation of the notion system and its identification and simulation. The description of the use of FL, ANN and GA during the process of simulation of decision making processes in enterprise sphere.

The aim of the course is to get acquainted with some advanced and non-standard methods of analysis and simulation techniques in economy and finance by the method of explanation of these theories, to become familiar with these theories and their use.

Control of results of independent written projects.

DOSTÁL, P.: Advanced Decision making in Business and Public Services, Akademické nakla (EN)
DOSTÁL, P. Advanced Economic Analyses. Brno: CERM Akademické nakladatelství, 2008. 80 p. ISBN: 978-80-214-3564-3) (EN)
DOSTÁL, P., SOJKA, Z. Finacial Risk Management, UTB Zlín, 2005,60p, ISBN 80-7318-343-9. (EN)

ALIEV, A., ALIEV, R. Soft Computing and Its Applications, World Scientific Publishing Ltd, UK2002, 444p., ISBN 981-02-4700-1. (EN)
ALTROCK, C. Fuzzy Logic & Neurofuzzy – Applications in (EN)
BOSE, K., LIANG, P. Neural Network, Fundamental with Graphs, Algorithm and Applications, Mc Graw-Hill, USA, 1996, 478s., ISBN 0-07-114064-6. (EN)
DAVIS, L. Handbook of Genetic Algorithms, Int. Thomson Com. Press, USA, 1991, 385p., ISBN 1-850-32825-0. (EN)

26 hod., povinná