National Repository of Grey Literature 279 records found  1 - 10nextend  jump to record: Search took 0.01 seconds. 
Artificial Intelligence in Bang! Game
Kolář, Vít ; Lodrová, Dana (referee) ; Orság, Filip (advisor)
The goal of this master's thesis is to create an artificial intelligence for the Bang! game. There is a full description of the Bang! game, it's entire rules, player's using strategy principles and game analysis from UI point of view included. The thesis also resumes methods of the artificial intelligence and summarizes basic information about the domain of game theory. Next part describes way of the implementation in C++ language and it's proceeding with use of Bayes classification and decision trees based on expert systems. Last part represent analysis of altogether positive results and the conclusion with possible further extensions.
The Application of Fuzzy Logic for Rating of Suppliers for the Firm
Bendová, Kateřina ; Šebestová, Monika (referee) ; Dostál, Petr (advisor)
The master‘s thesis deals with the use of fuzzy model in the evaluation of television suppliers. This model is used for easier and faster decision when choosing a suplier for a particular commission. The fuzzy model is created on the basis of criteria that are essential for the company. This model is designed by MS Excel and MathWorks MATLAB.
NON-INSTITUTIONAL PRIVATE EQUITY AS INVESTMENTS IN START-UPS AND EXPANSION-STAGE ENTERPRISES
Skalická, Martina ; Dostál, Petr (referee) ; Kožená, Marcela (referee) ; Živělová, Iva (referee) ; Zinecker, Marek (advisor)
This Ph.D. thesis examines characteristics of Business Angel investors in the Czech Republic and their attitudes to evaluation of investment projects. The research is based on primary data obtained by interviewing active Business Angel investors operating in the Czech Republic. The characteristics of Business Angel investors and their attitudes in investment decision making and subsequent monitoring of investments are analysed. Business Angel investors were also asked how they perceive external environment. The topics and questions listed in the interviews result from a systematic literature review. Based on the results of the interviews, an elimination model was developed to capture the preferences of individual Business Angel investors. The model represents a tool supporting entrepreneurs while determining the probability that their project will not be rejected without a deeper examination. Therefore, the model supports entrepreneurs to set the parameters of their projects to increase the likelihood that a Business Angel investor will undergo a detailed due diligence process.
The Use of Means of Artificial Intelligence for the Decision Making Support in the Firm
Tirinda, Viktor ; Skipala, Ondřej (referee) ; Dostál, Petr (advisor)
The master’s thesis deals with a use of artificial intelligence as a support for decision in a company. The thesis contains application which is based on techniques of genetic algorithms and sets of conditions to determine the deployment of transmitters for internet connection in a given location.
Proposal for Implementation of the Decision Tree’s Method in Context with Investment Decisions
Krejčířová, Magda ; Batko,, Michal (referee) ; Zinecker, Marek (advisor)
This master's thesis concerns the use of the methodology of the decision tree in the investment decision making. The proposed decision model provides the best solution from the available options for the EXPECT-IT ltd. company. This thesis contains also a range of own proposals followed by their evaluation.
The Use of Means of Artificial Intelligence for the Decision Making Support in the Firm
Bednář, Martin ; Bružina, Martin (referee) ; Dostál, Petr (advisor)
The master's thesis deals with the topic of the use of artificial intelligence for managerial decision making in the firm. This thesis contains proposal for an application of neural networks and fuzzy logic for firm's product evaluation and recommendation for selection of competent produts.
The Application of Fuzzy Logic for Company's Creditability Evaluation
Šustrová, Tereza ; Doskočil, Radek (referee) ; Dostál, Petr (advisor)
This master thesis deals with a proposal of a model for a company’s creditability evaluation from a view of a creditor using artificial intelligence. The model is developed in MS Office Excel and MathWorks Matlab utilizing the fuzzy logic theory.
The Application of Fuzzy Logic for Rating of Suppliers for the Firm
Mandincová, Veronika ; Jirchářová, Lenka (referee) ; Dostál, Petr (advisor)
This master thesis deals with the use of fuzzy model to evaluate of construction companies. This model is used for easier and faster way to decide which of the contenders for the reconstruction of the block of flats is most suitable. The fuzzy model is created based on requirements of the community owners of the block of flats and is processed in Microsoft Excel and MathWorks MATLAB.
Consumer Decision-Making in Conditions of Risk
Cetlová, Tereza ; Svobodová, Kateřina (referee) ; Škapa, Stanislav (advisor)
The aim of the thesis is to afford a complex perspective of a parallel development of psychology and economics to the readers. It is suggested, how psychological experiments could be used for the overall enrichment of the classical theory of economics. In the thesis, readers are introduced to the development of economic theories over time, and also to what role a human takes as a personality. Including the thesis is the part engaging in consumer decision process.
Mathematical Methods in Economics
Mairingerová, Anna ; Juračková, Eliška (referee) ; Novotná, Veronika (advisor)
Master’s thesis deals with the evaluation and selection of suppliers of products and services for the company Momedica, s.r.o. using fuzzy logic. The resulting fuzzy system will serve as a decision support instrument of company.

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