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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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Artificial Intelligence in Power Oil Transformers Diagnostics
Janda, Ondřej ; Szabó,, Radek (referee) ; Kratochvíl, Petr (referee) ; Hammer, Miloš (advisor)
This dissertation thesis deals with the application of expert systems and soft computing methods in field of power oil transformers. The main work is divided into theoretical and practical part. First, the theoretical part presents the basic elements of the transformer, and approaches to its diagnosis. The work focused mainly on the diagnostics of the insulation system, and diagnostic methods and approaches in this specific area. Next part describes the basics of expert systems and other soft computing methods such as: fuzzy logic, neural networks, genetic algorithms and their combinations and extensions. At the end of the theoretical part, the possibility of optimization approaches by means of artificial intelligence and its application in fuzzy model optimization are described. The practical part begins with description of the used data file that runs through the entire work. The work is then divided into four parts, namely in parts which deal with the expert system for transformer diagnostics, DGA module, prediction module, and optimization using artificial intelligence. The section describing the expert system gives specific information about the particular expert system. The means and techniques used for constructing given system are described, and then the complete system design and description of all subsystems and modules are presented. The next section describes the developed DGA module and all selected approaches to its implementation and expansion. At the end of the chapter, the results of comparison between all implemented methods are evaluated. The third part deals with the prediction module and describes its design and construction, including description of the main parts which are based on the selected predictive approaches. Also, the predictions of selected quantities from the data file are included. There are two predictive approaches being used: the one step prediction, and the multiple step prediction. The comparison of prediction accuracy and computational cost of given methods is presented at the end of this chapter. The last part deals with the possibilities of optimization using artificial intelligence methods, namely differential evolution, PSO, and genetic algorithms. Both the single-objective and the multi-objective optimization are considered. The methods are compared in a series of synthetic tests and then applied to optimize the fuzzy models of DGA tests from an earlier part of this work. The dissertation also includes chapters: "The Aims", "The Contribution of the Work", and a list of publications, products, and projects of the author.
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Problem diagnostics by expert system
Mertlík, Tomáš ; Nagy, Ľuboš (referee) ; Karásek, Jan (advisor)
This paper refers to expert systems. Expert system is a computer program dedicated to giving an expert advice, decisions or recommending the best solution in a particular situation. This paper mentions four types of expert system which are commonly used in practice. Basic, additional and complementary components of expert systems are described. The practical part of this paper refers to the diagnostic problem of computer start based on expert system implemented in JAVA programming language and ECLIPSE IDE.
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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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Diagnostic expert system
Mertlík, Tomáš ; Nagy, Ľuboš (referee) ; Karásek, Jan (advisor)
This paper refers to expert systems. Expert system is a computer program dedicated to giving an expert advice, decisions or recommending the best solution in a particular situation. This paper mentions four types of expert system which are commonly used in practice. Basic, additional and complementary components of expert systems are described. The practical part of this paper refers to the diagnostic problem of computer start based on expert system implemented in JAVA programming language and ECLIPSE IDE.
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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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Care placement agencies: professionalization of care in expert systems
Souralová, Adéla ; Pavlík, Petr (advisor) ; Uhde, Zuzana (referee)
During last couple of decades, the paid child care has become one of the central issues of feminist research. The agencies mediating child care are relatively the new actor in child care arrangements in the Czech Republic. This MA thesis argues that they not only fill the gap in the market by offering a child care. Above all, far from providing the simple supply that reacts to the demand on the market, the agencies create the demand for specific care. Drawing upon qualitative research conducted with owners of these agencies, the text looks into the ways how the child care is constructed. The analysis consists of two parts. In the first one the agencies are understood as expert systems generating specific trust. In the second part, the issues of qualified, specialized, and professionalized care are discussed. The thesis aims at showing that child care in the agencies is deconstructed as a natural female activity and is reconstructed as a gendered activity requiring particular skills that are submitted to professional screening.
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