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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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Information System Selection
Gurka, David ; Viktorin, Ondřej (referee) ; Dydowicz, Petr (advisor)
This master’s thesis deals with selection of optimal information system for medium sized engineering company. Decision to implement a new ERP system is a big step forvard and the main target of this thesis is to make the best possible recommendation how to proceed in this task. Main solution is a new ERP system for this company with economic evaluation and important benefits of this system.
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Utilization of artificial intelligence in vibrodiagnostics
Dočekalová, Petra ; Huzlík, Rostislav (referee) ; Zuth, Daniel (advisor)
The diploma thesis deals with machine learning, expert systems, fuzzy logic, genetic algorithms, neural networks and chaos theory, which fall into the category of artificial intelligence. The aim of this work is to describe and implement three different classification methods, according to which the data set will be processed. The GNU Octave software environment was chosen for the data application for licensing reasons. Further evaluate the success of data classification, including visualization. Three different classification methods are used for comparison, so that we can compare the processed data with each other.
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The Application of Fuzzy Logic for Rating of Suppliers for the Firm
Olšová, Renata ; Doskočil, Radek (referee) ; Dostál, Petr (advisor)
Cílem této diplomové práce je návrh vhodné metody, jak vyhodnotit dodavatele modelů letadel a leteckého příslušenství holandské společnosti Aviation Megastore. Tato polečnost existuje na trhu již více než 25 let a má více než 170 dodavatelů po celém světě. Proto vznikla potřeba jednotlivé výrobce a distributory ohodnotit a zvážit jejich vývoj během jednotlivých let, případně u některých vybraných dodavatelů zvážit vzhledem k neuspokojivým výsledkům možnost ukončení spolupráce. Pro vyhodnocení bude použit program MS Excel a MATLAB.
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Fuzzy Markov chains and their use in risk management
Šindelková, Petra ; Vymazal, Tomáš (referee) ; Misák, Petr (advisor)
This thesis deals with the application of Markov chains for the production of concrete products. The theoretical part is focused on clarifying the concepts of risk management and describes the procedures for dealing with classical Markov chains. There are presented basics of fuzzy logic and finally there is explained the procedure using fuzzy logic in calculating of classical Markov chains in the subsection entitled Fuzzy Markov chains. The practical part describes production process, namely concrete pavements. On this production process is applied knowledge from the theoretical part and there is a comparison and evaluation of two methods of Marcov chains calculation (classic and fuzzy approach).
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Nonlinear Control of Complex Systems by Utilization of Evolutionary Approaches
Minář, Petr ; Ošmera, Pavel (referee) ; Oplatková,, Zuzana Komínková (referee) ; Matoušek, Radomil (advisor)
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.
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The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market
Vaško, Jan ; Kříž, Jiří (referee) ; Dostál, Petr (advisor)
Diploma thesis deals with analyzing the possibility of using artificial intelligence, specifically artificial neural networks and fuzzy logic, on the capital markets as a tool to support decision making in business. The Matlab software is used for this purpose. The work is divided into three parts. The first part deals with theoretical knowledge, brief description of the current situationin is covered in a second part and the theoretical solutions are applied to the system in the third section.
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