National Repository of Grey Literature 169 records found  previous11 - 20nextend  jump to record: Search took 0.01 seconds. 
The Application of Fuzzy Logic for Rating of Suppliers
Boros, Adrián ; Podešva, Lukáš (referee) ; Janková, Zuzana (advisor)
The master’s thesis deals with the design and implementation of decision models for the evaluation and subsequent selection of suppliers of powder paints for the company Kenzel s.r.o. Decision models are created in MS Excel and MathWorks MATLAB and use the principles of fuzzy logic. The thesis describes the theoretical basis of the work, the current state of the company and the implementation of both proposed models. Part of the work is also the selection of evaluation criteria on the basis of which the evaluation of selected suppliers takes place.
The Use of Artificial Intelligence for the Decision Making in the Firm
Coufal, Petr ; Cichra, Rostislav (referee) ; Dostál, Petr (advisor)
The Master’s thesis deals with the topic of the use of artificial inteligence for managerial decision making in the firm. This thesis contains an aplication of fuzzy logic system for firm’s supplier evaluation that provides informations for more efficient collaboration with suppliers.
Possibilities of value analysis utilization by selection of mortgage lender
Pískatá, Petra ; Korytárová, Jana (referee) ; Puchýř, Bohumil (advisor)
The aim of this master’s thesis is to find the best type of mortgage loan for several kinds of borrowers. The first part describes personal housing financing, use of loans, use of mortgages in general. At the end of this theoretical part the value analysis is explained as a tool for mortgage lender (or the type of mortgage loan) selection and the way of reaching this goal is defined. Second part is a practical example of how to make decision and find the best choice. It selects the most important criteria and real cash flow is simulated to asset the price of each possibility. Using the discrimination method and efficiency rate the possibilities are ranked. Results are commented on and recommendations are set to every type of client. In conclusion, general method for selection before getting a mortgage is proposed.
Strategy for Game Systems
Švestka, Marek ; Tóth, Michal (referee) ; Zemčík, Pavel (advisor)
This thesis resolves the artificial intelligence representation in computer games. The goal was to find it's suitable interpretation methods. The issue was solved with "map"implementation, which is the n-dimension matrix holding the information about current game state for the concrete player. There were various types of these matrixes used in this thesis. Furthermore was designed a way to evolve computer opponents during the gameplay and created an algorithm, that gives the idea of the space in which it is located. Benefit from this thesis is a solution that makes artificial adversary close to human gameplay behavior. The outcome could also be used in simulators for military battles in real world.
The Impact of Uncertainty of Project Models on Investment Decision Making
Pískatá, Petra ; Heralová,, Renáta Schneiderová - (referee) ; Pavelková,, Martina (referee) ; Hromádka, Vít (referee) ; Heralová,, Renáta Schneiderová (referee) ; Korytárová, Jana (advisor)
This doctoral thesis widely analyses the process of investment decision-making. In its individual parts, it researches models used for planning, analysing and evaluation of investments projects, but also models used for final decision about realization of the investment. Investing activity is present in world economic cycle in all it’s phases. Capital sources used for financing if the investment projects are scarce and must be handled with care. For this reason, there are many supportive methodologies and models employed in managing of the investments as well as instruments developed to miti-gate the potential project risks. However, even utilization of these instruments and models can’t guarantee the expected results. There are uncertainties, errors and in-accuracies in the process that can thwart investment decisions. The aim of the thesis is to analyse the investment decision-making process (from the initial idea to the realization of the investment project) and to identify the main un-certainties – factors influencing the success / error rate of models for investment project planning as well as the decision on their realization. The main outcome of the thesis is an overview of these factors and recommenda-tions on how to work with these factors and make the process as effective as possi-ble. Another output is an analysis and recommendations for the use of financing sources and mix of the instruments that should be used to mitigate the potential impact of risks that are connected to all investment projects.
Proposal for a Method of Selecting a Suitable Non-life Insurance Product for the Protection of a Consumers Against Risk
Danihelková, Martina ; Skalíková, Miroslava (referee) ; Škapa, Stanislav (advisor)
The aim of the thesis entitled "Proposal for a method of selecting a suitable non-life insurance product for the protection of a consumers against risk" is to suggest a method that readers can follow when choosing the right non-life insurance product to protect them against risks which could harm them the most, and to help set the most effective the sum insured. The part containing the survey is exposing consumer attitudes toward non-life insurance and their behavior when choosing an insurance product.
Proposal of an Economic Informational System
Stehlík, Martin ; Pondikas, Tomáš (referee) ; Kocmanová, Alena (advisor)
The master´s thesis applies theoretic knowledge of the manager accounting into the practical life of enterprising of the firm Elektro Sochor, Ltd. This thesis includes suggestion intradepartmental economic system of firm, which is able to ensure following of inside economic actions in frames system of intradepartmental economic center, calculations a budget system.
The design of Bayesian diagnostic expert system Querix and it’s engineering application
Věchet, Stanislav ; Krejsa, Jiří ; Chen, K.-S.
Expert systems have gained attention over the last two decades as they bring the possibility of using expert knowledge in various control systems. However, it has lost attraction in favor of artificial neural networks in recent years, which is mostly influenced by the availability of data to train neural network models and the availability of various frameworks to achieve fast time-to-market applications for given solutions.
Success of Evasive Maneuvers in Women's Sevens Rugby Players
Maštera, Jan ; Hojka, Vladimír (advisor) ; Kaplan, Aleš (referee)
Title: Success of Evasive Maneuvers in Women's Sevens Rugby Players Objectives: This study aimed to analyse the effectiveness of evasive maneuvers within the gameplay context during women's sevens rugby matches Methods: The research analysed women's rugby sevens matches, focusing on evasive manoeuvres such as side steps, swerves, fake passes, quick acceleration and deceleration, hitch kicks, ducking, and spine moves. We established a scale to measure the success of evasive manoeuvres, taking into account their impact on the game Results: The most frequently used evasive manoeuvre was the side step, followed by the swerve and quick acceleration and deceleration. The cut-back manoeuvre was most associated with overcoming defenders. The ducking manoeuvre was most frequently linked to tackles, exhibiting the highest scoring potential. The hitchkick manoeuvre was associated with the most significant loss Keywords: rugby; agility; decision making; evasive maneuvers
Possibilities of preventing the negative influence of cognitive biases on everyday decision making
Tesařová, Monica ; Stehlík, Luděk (advisor) ; Uhlář, Pavel (referee)
This bachelor thesis deals with possibilities of preventing the influence of cognitive biases on our everyday decision making, especially with the negative effect of the anchoring-and-adjustment heuristic on consumer behavior. The first chapter is concerned with human irrationality in decision making, primarily with cognitive biases. Some of the most significant types of cognitive biases that negatively affect our decision making are presented and various approaches trying to explain their origin and nature are introduced subsequently. It continues with a chapter on possibilities of the prevention of cognitive biases where the theory of debiasing is mentioned and an example of a successful debiasing strategy is presented. The last chapter of the theoretical part focuses in detail on one particular type of cognitive bias that arises from using the anchoring-and-adjustment heuristic. The aim of the empirical part of the thesis is then to propose a strategy that will, at least partially, help reducing the negative impact of this bias on our decision making in everyday situations - particularly from the consumer perspective. Another part of this is also an outline for an experimental study that would help verify the effectiveness of the proposed measures. Keywords: heuristics, cognitive biases,...

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