National Repository of Grey Literature 285 records found  1 - 10nextend  jump to record: Search took 0.00 seconds. 
Decision making based on partially known decision trees
Poláček, Tomáš ; Dostál, Petr (referee) ; Koutský, Jaroslav (referee) ; Váchal, Jan (referee) ; Dohnal, Mirko (advisor)
There is a wide range of different algorithms for insolvency prediction. The complex concept of insolvency proceedings from the point of view of both parties (debtor versus creditor) and from the point of view of the macroeconomics in this dissertation is new. It is often very difficult to generate forecasts using numerical quantifiers and traditional statistical methods. The reason is the lack of input data. Therefore, the work uses trend analysis tools based on the least information intensive quantifiers, ie trends, increasing, constant, and decreasing. A trend model solution is a set of scenarios where a set of variables is quantified by these trends. All possible transitions between the scenarios are generated and plotted in transition graphs. The oriented transition graph has as a node a set of scenarios, and as a branch the transitions between the scenarios. The given path through the transition graph describes any possible future and past behavior of the insolvency system being investigated. The Transition graph is a complete list of trend-based forecasts. The heuristics for determination of the payoff values from the insolvency proceedings applicable to the decision tree tools and the generated transition graphs from trend analyzes are also presented and used in the thesis. A nine-dimensional model serves as a case study. Vague variables are used in models that may have a major impact on the entire insolvency process, eg greed level and political situation.
The use of soft computing as support for business decision-making
Pekárek, Jan ; Jašek, Roman (referee) ; Lenort, Radim (referee) ; Zinecker, Marek (referee) ; Dostál, Petr (advisor)
The presented dissertation deals with the problem of deploying the charging infrastructure for electric vehicles in the Czech Republic. The core of the thesis is a mathematical optimization model, which is implemented in the language of MATLAB computing software. The model consists of several sub-units representing separate models of studied sub-problems. The individual chapters of the work describe successively these sub models. The sub models are: demand model of the charging service, model of charging supply, charging simulator model, optimization model and its resolving optimization method. The optimization model is accelerated by parallelization on the graphics card. The optimization method is designed as a case-specific implementation of genetic algorithms on a population of tree-structured individuals. The final chapter deals with an economic aspect of the problem under consideration, the implications of the findings and the role that the optimization model plays in the context under consideration. The main benefit of the work lies in the formulation of the problem as a mathematical model, the accompanying analyses and the provided justifications. Any user with updated data can then use this work along with the attached scripts to find answers to questions about the relationship between electromobility and the charging infrastructure.
DYNAMIC BIOMETRIC SIGNATURE AS AN EFFICIENT TOOL FOR INTERNAL CORPORATE COMMUNICATION
Hortai, František ; Jašek, Roman (referee) ; Dočkal, Jaroslav (referee) ; Dostál, Petr (referee) ; Smejkal, Vladimír (advisor)
The aim of this thesis is to provide comprehensive information on the possibilities of authentication, combination of authentication factors and the integration of this issue into corporate communication. The work focuses on this issue and specifies the possibilities for obtaining authentication information, analyses the authentication methods, identification and authorization. It examines the applicability of biometric technologies, the principle of their functionality, examples of their use, their impact, the advantages and disadvantages they bring. A natural, easy-to-use, convenient tool for effective and secure communication is authentication including the dynamic biometric signature. The issues of the dynamic biometric signature technology and its implementation are examined from a comprehensive perspective involving experiments. The research proved that the dynamic biometric signature can serve as a method for supporting secure corporate communication and reduce authentication risks in companies and for individuals.
Risk Related to Selecting a Supplier Using Fuzzy Logic
Černá, Hana ; Doskočil, Radek (referee) ; Dostál, Petr (advisor)
The diploma thesis deals with selection and evaluation of phone accessories suppliers for ZONES s.r.o. company and evaluates their possible risks. In thesis is created decision model which is using fuzzy logic. The main part of the thesis consists of proposals for the evaluation of the company's suppliers. At the beginning of thesis are theoretical bases which will be used in the practical parts. Decision models are created in Microsoft Excel and MATLAB. The fuzzy model is based on requirements of the company. Another part of the thesis deals with analysis and comparison of results from both programs. The result of this thesis is the model which is easy to use and improves selection and evaluations of phone accessories for ZONES s.r.o. company.
The Use of Artificial Intelligence for Decision Making in the Firm
Seryj, Michal ; Budík, Jan (referee) ; Dostál, Petr (advisor)
Diploma thesis deals with design of a model for currency rate prediction by using artificial intelligence as a tool for decision making process in business and public administration. Concrete usage of this prediction is applied in company TechPlasty s.r.o. The thesis focuses on analysis of input data, optimization of a prediction model and evaluation of the results and their profit for the selected company.
Algorithmization for decision support
Magda, Michal ; Budík, Jan (referee) ; Dostál, Petr (advisor)
The aim of this bachelor thesis is a strategy creation for bitcoin towards dollar (BTC/USD) on the MetaTrader5 (MT5) platform by utilizing programming language MQL5. The basis of the analysis is to import data from crypto-exchange into the MT5 platform, to program a special strategy based on technical indicators and to backtest the performance efficiency on the historical growth of the bitcoin value. Created solution provides a trading robot with simple access to the crucial parameters modification. Primal finding is the ability to predict the future value of bitcoin, evaluation and comparsion between the revenue and risk.
The Application of Fuzzy Logic for Evaluation of Quality of Customers
Homola, Rostislav ; Kudrna, Josef (referee) ; Dostál, Petr (advisor)
Master thesis deals with quality evaluation customers of Heineken Česká republika, a. s. using the theory of fuzzy logic as an advanced decision-making method, which will be further practically applied within the design of the solution. Based on the selected parameters, a model will be developed to optimize the value of the company's customers, on the basis of which the company may also decide whether to cooperate with the customer or it is more advantageous for them to terminate this cooperation. The work itself is supported by Microsoft Excel and MATLAB.
The Use of Artificial Intelligence for Decision Making in the Firm
Volný, Miloš ; Budík, Jan (referee) ; Dostál, Petr (advisor)
This thesis is concerned with future trend prediction on capital markets on the basis of neural networks. Usage of convolutional and recurrent neural networks, Elliott wave theory and scalograms for capital market's future trend prediction is discussed. The aim of this thesis is to propose a novel approach to future trend prediction based on Elliott's wave theory. The proposed approach will be based on the principle of classification of chosen patterns from Elliott's theory by the way of convolutional neural network. To this end scalograms of the chosen Elliott patterns will be created through application of continuous wavelet transform on parts of historical time series of price for chosen stocks.
The Use of Linear Programming for Optimization of Advertising Cost
Jurčo, Denis ; Dostál, Petr (referee) ; Doskočil, Radek (advisor)
The aim of this thesis is to analyse processes, which take place in the company in relation to optimization of advertising costs. Theoretical basis, basic concepts, methods, procedures and linear programming used for optimization will be defined in the theoretical part of the work. Subsequently, the Reporter element will be presented as a Microsoft Excel support element. The company, its main business targets and the problems that occur in the enterprise will be introduced in the analytical part. The last part will consist of models created by myself, my own suggestions of solutions and the results will be interpreted by the tool Solver.
Evaluation of winter oilseed rape yield of Pioneer company cultivars
DOSTÁL, Petr
This bachelor thesis deals with winter oilseed rape. The focus is placed on history, importance of cultivation, characteristics, yield creation and influencing factors. Attention is given to technology of winter oilseed rape cultivation, to selected oilseed hybrids of Pioneer company and to economy as well. The main chapter consists of the harvests results in the Czech Republic from 2014 until 2018. Another chapter is the response to the use of growth regulators in both semi-dwarf and normal straw hybrids. From the results of the thesis it was found out that the seed yields of semi-dwarf rape are comparable to those of normal straw hybrids. However, it strongly depends on the technology of cultivation and the climatic conditions of the given year and habitat as well.

National Repository of Grey Literature : 285 records found   1 - 10nextend  jump to record:
See also: similar author names
12 Dostal, Pavel
1 Dostál, Patrik
12 Dostál, Pavel
14 Dostál, Petr
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