The Integration Technology for Collective Expert Knowledge in the Tasks of Developing Scenarios for Vocational Guidance and Employees’ Rehabilitation

Autor: Igor Petukhov, Lyudmila Steshina, Andrey Vitalievich Gorokhov
Rok vydání: 2017
Předmět:
Zdroj: EURASIA Journal of Mathematics, Science and Technology Education. 13
ISSN: 1305-8223
DOI: 10.12973/ejmste/80012
Popis: This study aims at developing information technology to support the synthesis of scenarios for vocational guidance and workers’ rehabilitation based on collective expert knowledge integration. Collective expert knowledge is formalized by the conceptual modeling method. The functionally targeted approach enables the integration of collective expert knowledge at the stage of creating a conceptual model. The authors’ technologies for the synthesis of control algorithms based on the conceptual model are applied to synthesize and select scenarios for vocational guidance and workers’ rehabilitation. The application of the functionally targeted approach at the synthesis stage ensures the adequacy of relevant synthesized scenarios. Tree structures used in the functionally targeted approach are convenient for experts and allow them to build a hierarchical description of the main objects, processes, and relationships of the studied system in terms of the subject domain. This approach allows for rationally justified synthesis, and choice of psycho-physiological rehabilitation scenarios from the perspective of vocational rehabilitation goals.
Databáze: OpenAIRE