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User interface for an expert system
Kořínek, Lukáš ; Boštík, Ondřej (referee) ; Jirsík, Václav (advisor)
This bachelor's thesis is about design and implementation of an expert system user interface. Concerned system is a universal rule-based diagnostic expert system called NPS, which has been developed at FEEC BUT. The interface has been created as a bilingual web application based on modern technologies, which might bring the opportunity to reach variety of devices and a broad user audience. It also enhances the system with means of user authorization, history browsing, user management, knowledge management and more. The application runs on faculty's infrastructure and is undergoing active testing by both physical users and automated tests. Theoretical part of the document describes knowledge and expert system problematics, followed by properties of the NPS system and discussion about web technologies (actual trends in the field, client to server communication, testing strategies and security). Practical part then consists of created interface overview, system architecture description, implementation details, testing and steps used to deploy the application on faculty's network infrastructure.
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Evaluation of Investment with the Usage of Fuzzy Logic
Machová, Kamila ; Šimon, Ondřej (referee) ; Dostál, Petr (advisor)
Master ’s thesis deals with evaluation of investment using advanced methods of analysis and modeling with regards to the best offer. The content of the thesis consists of creating two decision making systems based on fuzzy logic. The thesis also contains a theoretical basics which are necessary for the creation of both systems and evaluating the benefits of the solution.
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Information System Selection
Šebesta, Petr ; doc. Ing. Petr Sodomka, Ph.D., MBA (referee) ; Koch, Miloš (advisor)
The thesis deals with problems of enterprise information system selection. Based on theoretical knowledge in the field of information systems and their development is the analysis of enterprise information system selection and situation on czech market. Solution suggestions consist of optimal enterprise information system project description and description of created expert system knowledge base for pre-selection of enterprise information system.
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Expert systems for choosing field of study
Vítek, Aleš ; Polách, Petr (referee) ; Jirsík, Václav (advisor)
The bachelor thesis deals with the suggestion to set a knowledge basis for an expert system enabling a choice of study specialization at the Faculty of Electrical Engineering and Communication Brno University of Technology (abbrev. FEKT VUT). The expert system would recommend one of the six study branches at the FEKT VUT to the Year 4 secondary school students and Year 1 winter term students of the FEKT VUT. The expert system would gradually ask questions to the single study applicants. Their answers would put the study branches in order of suitability, from the most to the least suitable ones for the applicants.
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Automated speaker for orienteering races
Šabata, Milan ; Lázna, Tomáš (referee) ; Chromý, Adam (advisor)
This work describes an automatic commentator application for a sport called orienteering. This is an autonomous commentary on the ongoing race. The reason is to increase the attractiveness for the average viewer.Communication with humans is guaranteed using the text to speech function. The application uses inputs directly from the plant premises with the help of RACOM, where it then decides and selects interesting moments using an algorithm and a mathematical formula.
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Expert system
Šimková, Jana ; Polách, Petr (referee) ; Jirsík, Václav (advisor)
The main point of the work is an identification with NPS32 expert system, the describtion of the ways of getting knowledges. By choosing a suitable district for the expert system aplication, the suggestion of the knowledge base for the district will have been the result of the work.
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MODELOVÁNÍ INVESTIČNÍHO ROZHODOVÁNÍ V PODMÍNKÁCH NEJISTOTY A NEURČITOSTI
Soukupová, Ljuba ; Dalík, Josef (advisor)
This doctoral thesis is focused on the problem of investment decision making under uncertainty with computer support. On the basis of theoretical and empirical findings there was designed proposal of artificial intelligence tools implementation into the present methods of investment decision making under uncertainty. Constructive idea of this doctoral thesis is in fuzzy model of investment decision making for non-financial companies investments and implementation of this model into the knowledge base of expert system. Methodology of investment decision making under uncertainty was created on the background of mentioned practice of decision making about investment. Although from the first sight designed methodology appears to be complicated it has proved high effective in practice.
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Creating a knowledge base for insurance products
Pokorný, David ; Štrof, Jan (referee) ; Jirsík, Václav (advisor)
This bachelor thesis is about developing a knowledge base for an expert system. Knowledge base is a set of appropriately coded knowledge from the areas of human activities, which can be expressed with some uncertainty. This created knowledge base is used for qualified selection of appropriate risk life insurance. Base is being create in cooperation with financially – advisory company and will be deployed in regular service where it will help Sales representatives in their regular expert work. Theoretical part of the document describes problematics of creation and tuning of a knowledge base, there is also described a wide range of usage expert system aplications and illustration of NPS expert system and its syntax. Practical part then consists of description of development knowledge base, evaluation of the final results and proposals for another development.
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Detection of Pilot Inattention
Novotný, Josef ; Mekyska, Jiří (referee) ; Smékal, Zdeněk (advisor)
This master thesis deals with the issue of pilot inattention and proposes a design of a system for detecting inattention of general aviation pilots. Inattention belongs to one of the human-caused errors that currently contribute to the most common causes of aviation accidents. The theoretical part deals with the definition of inattention, compares different aviation categories based on flight rules, and contains a search of detection methods. The practical part of the work deals with the selection of suitable sensors, data collection, and implementation of detection algorithms. In this thesis, two different approaches were chosen. The first implementing machine learning using the RUSBoost classifier, which detects states of attention and distraction. The second approach represents the design of a system for detecting pilot inattention based on a set of rules specified in the CLIPS expert system.
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