National Repository of Grey Literature 50 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
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.
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.
Use of mathematical methods in creating an investment portfolio
Holub, Miroslav ; Novotná, Veronika (referee) ; Janková, Zuzana (advisor)
The bachelor thesis is focused on the use of mathematical methods in creating an investment portfolio, which is designed for small investor. The theoretical part of the thesis describes the necessary knowledge to understand Markowitz model, selected indicators of financial analysis and the Value at Risk method. The practical part contains a selection of investment instruments traded on the US market according to established criteria, the creation of a real portfolio of these investment instruments and the final evaluation of results.
The Application of Fuzzy Logic for Rating of Employees
Ganzwohl, Jakub ; Coufal, Petr (referee) ; Janková, Zuzana (advisor)
In this diploma thesis, the means of fuzzy logic are used to evaluate the usefulness of employees. For this purpose, a model has been created to help decide whether an employee is worth for the company. The actual solution design is created in MS Excel and MathWorks MATLAB. The subsequent evaluation of the employee is based on the results achieved from these solutions.
Evaluation of Investment Risks Using Fuzzy Logic
Žáček, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the evaluation of an investment using fuzzy logic for a specific company. With the help of the created decision-making models, the company will be able to efficiently and quickly evaluate which investment brings the highest benefit. These models follow the criteria that are most important to the company when deciding on an investment. The work also contains theoretical background, which serves as a basis for creating and evaluating models.
The Use of Artificial Intelligence to Reduce Risk in the Company
Smija, Jakub ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the analysis and subsequent evaluation of selected commercial vehicle models from individual manufacturers, using artificial intelligence methods. The introductory chapters focus on the basics of risk science, fuzzy logic and software tools, their purpose is to acquaint readers with the issues addressed. The analytical part of the work contains a description of the selected company and also an introduction of specific suppliers. The main part contains decision criteria for the selection and also a description of the actual solution of the assignment. More specifically, two decision models based on fuzzy logic, which were created using MS Excel and MATLAB. In the end, the results from both models are compared, including the interpretation of the obtained results.
Application of Mathematical and Statistical Methods in Company Management
Brančík, Jakub ; Janková, Zuzana (referee) ; Novotná, Veronika (advisor)
This master thesis deals with the investment recommendation for Czechoslovak Com- mercial Bank, a.s. The recommendation is based on business strategy based on Fibonacci retracement and analysis of the current risks of financial markets. The first part deals with the parameters and the results of the business strategy. Second part proposes investment and non-investment recommendations. At the end of the thesis are summarized all aspects of the research.
Application of Fuzzy Logic for Evaluating Investments in Stock Markets
Žigo, Tomáš ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
This diploma thesis deals with the evaluation of investments in stock markets through decision support models. Within the work, two decision support systems in the MS Excel and MATLAB programming environments are designed and created, which are implemented using fuzzy logic. The work describes the theoretical basis of the work, work in software environments, and the selection of investments in the stock market. The thesis also contains a definition of evaluation criteria and a description of the creation process of the decision-making system, from which investment recommendations are derived.
The Application of Fuzzy Logic for Evaluation of Quality of Customers
Behancová, Katarína ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with the evaluation of the quality of customers using fuzzy logic based on the evaluation of their orders. The thesis consists of three parts. The first part is the theoretical basis of the thesis, which explains the issue of fuzzy logic. The second is the analytical part, in which the company ZKN METAL s.r.o. was introduced, for which a specific solution is subsequently proposed in the third and last part of the thesis. This solution is processed in the form of two models. The first of the models is processed in the MS Excel program and the second is modeled using the MATLAB programming environment. Both models are set in a user-intuitive environment and they are compared with each other afterwards.
Evaluation of Supllier Risk Using Fuzzy Logic
Lázniček, Matěj ; Janková, Zuzana (referee) ; Dostál, Petr (advisor)
This diploma thesis deals with the evaluation of supplier risk for a chosen company Vinařství Soška using the fuzzy logic principles. This company like many others is forced to shift its sales to the Internet environment due to the government restrictions established to reflect the pandemic situation. For a successful Internet business, it is necessary to choose an optimal ecommerce software based on the company requirements. For this purpose, two fuzzy logic models are built in Microsoft Excel and MATLAB software. Their aim is to evaluate the potential risk of all of the suppliers. Based on this evaluation, the results are transformed into specific recommendations on how to choose the optimal solution for the company. The first chapters deal with the general theory that is later used in the analytical part.

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