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Utilization of Expert Systems in Marketing Research
Pospíšil, Radek ; Táborský,, Milan (referee) ; Chalupský, Vladimír (advisor)
The master’s thesis “Utilization of expert systems in marketing research” deals with the development of an application based on an expert system, knowledge basis of which contains expert information from the area of CCTV security systems design. In this thesis, the used expert system is described and also its connection to the relevant marketing research is mentioned.The solution of the expert system is carried out in C++ language programming and the purpose of the program is to eliminate misunderstandings and inaccuracies which occur during the initial negotiations between the salesmen and potential investors.The created software product, based on the knowledge basis of the experts in the field and past experience with camera systems, helps the customers decide what type of system, in what range and with what configuration is suitable for them. Hereby the orientation customers is encouraged in the way as described by the modern concept of marketing.
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Knowledge representation for expert systems
Lekeš, Pavel ; Sáblík, Václav (referee) ; Polách, Petr (advisor)
The objective of this work is to analyze using of the first order logic for reasoning in knowledge based systems. Merit of the predicate logic is its relative simplicity in matter of algorithm development, where it is possible to decide about validity of a sentence written in first order logic language, by using formal rules without any connection to real meanings of logical variables. In Expert systems, the first order logic is used to derivate new formulas from given axioms, where previously derived formulas are included to the axioms as well. Its process of derivation of implicit believes from explicitly given facts.
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Petri nets for expert systems
Million, Pavel ; Pohl, Jan (referee) ; Jirsík, Václav (advisor)
Purpose of this master thesis is description of base parts of expert system with using Petri nets. Attention is mainly concentrate to knowledge base, way of storing knowledge. Next parts are describing main different between production base knowledge for planning or diagnostic expert system from Petri nets view. In this thesis conditions of using Petri nets and way of interpretation knowledge for inference mechanism in planning and diagnostic expert system are described. Using of high level Petri nets and language describing Petri nets structure and behaviour are demonstrated in next part of this thesis.
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Expert systems ES for home study and evaluation
Novák, Jaroslav ; Honzík, Petr (referee) ; Jirsík, Václav (advisor)
This master thesis contains the basic information about knowledge and expert systems. The thesis contains theoretic text about architecture of the expert systems and representation knowledge. The text regarding on representation knowledge contains examples of different ways of knowledge representation for expert systems. In the next part is described the design and all functions of the expert systems. This expert system uses frames representation.
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Fuzzy Petri Nets for Expert systems
Maksant, Jindřich ; Valenta, Jan (referee) ; Jirsík, Václav (advisor)
The object of this thesis is proposal and practical implementation of expert system, whose knowledge base will be modeling by fuzzy Petri nets. The proposal is based on knowledge in theoretical analysis of diagnostic expert system and fuzzy Petri nets. This proposal is realised in programming language C#. There are described functions of program and it is made a model consultation with using two different knowledge base.
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Methods of knowledge representation
Adamec, Jan ; Valenta, Jan (referee) ; Jirsík, Václav (advisor)
Thesis analyses the problems of energy sources evaluation during the reconstruction of an object or new building.There are described representatives of heat sources for given energy sources in text. rough view of how to proceed in searching for acceptable energy source is made here. this problematics is solved by the help of diagnostic expert system NPS32. created knowledge base could be used for sale support or for users for easier orientation in this problematics.
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Expert systems
Veselovský, Michal ; Konečný, Pavel (referee) ; Dvořák, Jiří (advisor)
Expert systems (ES) are commercially one of the most succesfull use of artificial intelligence (AI) - since eighties of the 20th century. They are often used in medicine, industry, science, trade, banking etc. Expert system is a software using knowledge of human experts for solving very complicated tasks and problems, which would otherwise require participating or consultation of one or more specialists on these issues. This software simulates decision-making of human expert in solving complicated tasks, and tries to reach the most probable result, ideally same as the expert´s opinion. Typical feature of expert systems, differencing it from usual software, is separating of decision making engine (inference engine) and knowledge base – same expert system with different knowledge base may serve for different purposes. This feature is used for creating empty expert systems – shells. Other features, which may not occur at all ES, are ability to make decision with uncertainty, and ability to explain the decision. Goal of this work is to describe basic principles of ES, using freely available information sources, and then describe and analyze resources for creating of these systems, using mainly information from official web sites.
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