Article

Article title APPROACH TO THE CREATION OF KNOWLEDGE MANAGEMENT MODEL BASED ON GENETIC SEARCH METHODS
Authors V.V. Bova
Section SECTION II. KNOWLEDGE MANAGEMENT
Month, Year 06, 2016 @en
Index UDC 004.822
DOI
Abstract The article discusses a new approach to the formation of the corporate knowledge manage-ment strategy based on the competency model as the current method of increasing the competitiveness of enterprises. Competency Model performs backbone and integrating role in enterprise knowledge management tasks on the basis of its assessment procedures are implemented, selection, development and training, work with the personnel reserve, some aspects of the formation of the system of motivation. The problems of identifying profiles of competence of experts, the problem of formalized description and formation on this basis of the knowledge base of intelligent information-analytical systems of enterprises using ontological ordering of objects as a tool for classification of corporate knowledge. The model of competencies, interpreted in terms of the domain ontology and having the ability for the selection of the essential features of classified objects of knowledge. A knowledge management model based on the use of heuristic methods of description and classification of experts competence profiles. To solve the problems of classification of corporate knowledge objects used clustering method in the multidimensional space of attributes, which uses a genetic algorithm to obtain an effective solution for the classification procedure for several well-known criteria. A genetic algorithm is an iterative probabilistic heuristic search algo-rithm feature is the simultaneous use of multiple search points (population) in the space of potential solutions. The advantage of this approach is the lack of a guaranteed ceiling for all clusters and there is no need to set a priori the number of clusters. Experimental studies have developed a genetic algorithm based on three criteria are shown in the test problems and confirmed the theoretical significance and application prospects of the proposed method.

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Keywords Intelligent information-analytical systems; knowledge management system; competency model; classification and clustering objects of knowledge; genetic algorithm; the ontological model
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