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04 Август 2022
07 Февраль 2019
Collection of Scientific Papers of KhNUPS 2(56). Kharkiv, 2018, p. 82 - 88.
The model of the hierarchical functional system of the subject area for cluster analysis is considered, based on the concept of stratification of the knowledge base. The mechanism of interpretation of the hierarchical functional system model for fuzzy classification of heterogeneous data based on the method of dynamic condensations is investigated. A graphical view of the hierarchical functional system for cluster analysis is given.
Keywords: hierarchical functional system, cluster analysis, knowledge base, expert system.
A model of a hierarchical functional system for cluster analysis
The article considers the model of the hierarchical functional system of the subject area for cluster analysis, based on the concept of layering of the knowledge base. The mechanism of interpretation of the model of the hierarchical functional system for fuzzy classification of heterogeneous data based on the dynamic condensed method is investigated. The mathematical model of cluster analysis is studied. The dynamic condensed method is adapted for fuzzy classification of heterogeneous data. The strategy for clustering in the "KARKAS" system is outlined. Examples of rules and frames of the knowledge base of the expert system of cluster analysis are considered. A graphical view of the hierarchical functional system is shown before the consultation for choosing the cluster analysis algorithm.
Keywords: hierarchical functional system, cluster analysis, knowledge base, expert system.
Model of the hierarchical functional system for cluster analysis
The article considers the model of the hierarchical functional system of the subject area for cluster analysis is considered, based on the concept of the knowledge base bundle. The mechanism of interpretation of the hierarchical functional system model for the fuzzy classification of heterogeneous data based on the dynamic condensation method is investigated. The mathematical model of cluster analysis is studied. The method of dynamic condensations for the blurred classification of heterogeneous data has been adapted. The strategy of clustering in the "KARKAS" system is outlined. Examples of rules and frames of the knowledge base of the expert system of cluster analysis are considered. A graphical view of the hierarchical functional system is shown before consulting for the choice of the cluster analysis algorithm.
The model ontology subject domain in system "KARKAS", consists of hierarchy of classes of subject domain, communications between them (conclusion rules) which operate within the limits of this model. In system the interpretation mechanism ontology in the conditions of dynamic change of its parameters (a base class, communications between classes and interactions of objects of classes) is offered. The system is constructed by a modular principle and for this reason has the possibility of connecting other additional modules. In the architecture of the system it is possible to allocate the following basic modules: the loader; the module for working out knowledge base; the consultation module; the module cluster analysis the data.
The subject domain model is considered as a functional system in which the result makes an organizing impact on all stages of ontology formation. Classes and communications between them can be considered as a logical design of a functional system.
In system "KARKAS" the hierarchical functional system is the formalized reflexion of subject domain in the form of hierarchical structure of a set of managing directors a component which cooperate among themselves for overall objective achievement.
Keywords: hierarchical functional system, cluster analysis, knowledge base, expert system.
24 Апрель 2015
Contains laboratory work, the purpose of which is the practical development of skills in the construction of knowledge bases by users using a tool for creating knowledge base models in the KARKAS system (system site http://it-karkas.com.ua). Guidelines for providing distance learning are given: a brief theoretical material for performing independent and individual work.
Keywords: knowledge base models, expert systems
LAP-PUBLISHING/Laboratory practical work on the system KARKAS
It includes laboratory work, the purpose is the development of practical skills of users in the design of knowledge bases using the tool to create a knowledge base of models in the computer system "FRAME" (http://it-karkas.com.ua system site). The methodical recommendations for distance learning: a brief theoretical material to carry out independent and individual work.
Keywords: model of knowledge bases, expert systems
AMAZON COM/Laboratory workshop on the KARKAS system
AMAZON FR/Laboratory workshop on the KARKAS system
Laboratory workshop on the system "KARKAS" FACEBOOK
Laboratory workshop on the system "KARKAS"/Computer Based Training OZON RU
29 Август 2013
06 Сентябрь 2012
An ontology model implemented in the almost intelligent learning system KARKAS is considered. Its possibilities are analyzed on the example of determining exposure in the assessment of environmental risk.
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