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Ethical dilemma in working with people with Asperger's syndrome
KAŠPAROVÁ, Eliška
This diploma thesis deals with theme of Ethical dilemma of social workers when deciding whether to create a collaborative plan based on the wishes of an adolescent with Asperger syndrome or a parent. The goal was to find out how social workers decide to interview, what factors influence their decisions. The topic is discussed both in the field of developmental psychology and theoretical knowledge about Asperger's syndrome, but this work also mentions theoretical knowledge of ethics in the field of decision-making. Qualitative research was focused not only on interviews with five social workers, but also on the view of adolescents with Asperger's syndrome and their parents on the given issue. In the research results, I emphasize the importance of elaborated internal regulations, which describe the procedure of working with the client, and which can help to solve the ethical dilemma.
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Properties of the utility function in methods of MCDM
KADLEC, Josef
This thesis was concetrated on the value of utility function properties in the application of multi-criteria variance estimation models. The aim was to identify the deficiencies in the current utility function and to find the optimal alternative. Our study is based on the analysis of a case example involving the selection of an apartment for a student seeking accommodation. The relevance of different features of the utility function and their influence on the overall evaluation and decision making was investigated. Analytical methods and models were used to quantify this issue. The thesis was concluded by discussing the impact of identified utility function deficiencies on the evaluation results and suggesting a more appropriate utility function for multi-criteria variant evaluation applications. This study was sought to contribute to a better understanding of the influence of utility function characteristics on the quality of evaluation and decision making in multi-criteria analysis.
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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.
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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.
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