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Application of Fuzzy Logic for Evaluating Investments in Stock Markets
Šmerda, Patrik ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis focuses on the application of fuzzy logic in constructing a decisionmaking model for evaluating investment opportunities in stock markets, with a specific emphasis on the selection of exchange-traded funds. The model is based on essential criteria that play a crucial role in the efficient selection of funds. These criteria are implemented in two decision-making models that have been developed using Microsoft Excel and MATLAB tools. The results obtained from these models provide a solid foundation for further steps in the investment decision-making process.
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Application of Fuzzy Logic for Evaluating Investments in Stock Markets
Jovič, Marko ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the application of fuzzy logic in supplementary models that serve as a support tool for solving decision-making questions in the field of stock market investments. The models encompass evaluative criteria and their attributes, which are used to evaluate various types of investment assets. The models are implemented in MS Excel using the VBA programming language and MATLAB from MathWorks.
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Use of fuzzy logic for banking risk assessment
Maňková, Veronika ; Bobalová, Martina (referee) ; Janková, Zuzana (advisor)
The thesis focuses on the use of fuzzy logic in the banking sector for credit risk assessment. Artificial intelligence, especially the fuzzy logic method, is used to construct a model for evaluating whether a client poses a threat to the bank or not based on their creditworthiness. The determination of a client's creditworthiness involves the evaluation of both financial and non-financial indicators. The paper further describes the use of the MATLAB tool for the development and implementation of this model. The resulting model allows banks to better understand credit risk and enables them to make more informed lending decisions.
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Supplier evaluation in terms of risk using fuzzy logic
Marcinov, David ; Lána,, Radim (referee) ; Janková, Zuzana (advisor)
The master’s thesis deals with the evaluation of supplier risk of an unnamed company XYZ. The evaluation is done using fuzzy logic theory, which is applied in the decision model designed in MS Excel and MATLAB. Suppliers are divided into four groups with different degrees of significance based on point and percentage results. Groups get recommendations for future cooperation, eventual suggestions for procurations, which can lead to minimization of risks and more accurate fulfillment of requirements. The company XYZ need these requirements from its suppliers. Comparison of results from two different software is part of this thesis too.
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Application of fuzzy logic as a support for decision-making in financial market
Abrahám, Adam ; Šuňavcová, Nikola (referee) ; Janková, Zuzana (advisor)
This thesis focuses on the application of fuzzy logic in supporting of decision-making in financial markets, especially in cryptocurrency investment. Firstly, the theory of fuzzy logic and its various applications are comprehensively discussed. Subsequently, cryptocurrencies and their investment criteria are analyzed. Based on this analysis, a fuzzy system is proposed as a decision-making tool for cryptocurrency investment. Specifically, the fuzzy system enables the evaluation of the risk and return of the investment in a particular cryptocurrency. The implementation of the proposed system, using MS Excel and MathWorks MATLAB, is also described. The experimental results show that the proposed fuzzy system is an effective decision-making tool for cryptocurrency investment.
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Application of fuzzy logic as a support for decision-making in financial market
Mrňka, Richard ; Šuňavcová, Nikola (referee) ; Janková, Zuzana (advisor)
The diploma thesis focuses on the application of fuzzy logic for investment evaluation in the American stock market through ETF (Exchange Traded Funds) investments. The thesis proposes two decision-making models, one in Microsoft Excel and the other in MathWorks MATLAB. These models incorporate essential criteria for investing in ETFs. The outputs of fuzzy models aid in facilitating investment decisions for small investors and creating a diversified passive portfolio.
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Fuzzy logic as a decision support in management practice
Svoboda, Jan ; Václavík, Lukáš (referee) ; Janková, Zuzana (advisor)
The thesis describes the process of evaluating internet domains for the purpose of automating the registration process. The set of measured results is used to support the managerial decision-making of XYZ company, utilizing advanced decision-making methods in the creation of the model. The model is developed using two programming environments, namely MS Excel and MATLAB. The decision-making tool fully corresponds to the current needs of the automation team, and the output is a final recommendation for the selection of suitable internet domains.
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