Abstract:The paper presents the results of scientific research in the field of engineering psychology regarding the creation of a method for selecting a set of psychodiagnostic techniques for the tasks of professional selection and training of specialists in complex ergatic systems. At the present stage, the process of professional selection of specialists of complex ergatic systems is standardized, but its individual components so far remain informal or subjective. This is especially true for the stages of building a … Show more
“…At the current stage of science and especially technology development more attention paid not to the technical but to the software implementation of various storage processes, transition process, information processing and analysis in the operation of the control system. It is the software part of the system is the main component of the price of control systems for their modification and development for today [1,[8][9][10][11][12]. Under such approaches, the intensive development of economic and mathematical control methods, the implementation of ECM into spheres of human productive activities possessing high speed response, logical flexibility, huge memory space, served as the basis for the development of special operations automated control systems (ACS of SO which qualitatively changed the management formula and significantly increased its effectiveness.…”
The relevance of improvement and difficulty of establishing ERP systems and methods of their development is considered. The features of the development of special mathematical and software implements strategy ERP system shows effective ways formalized description of the classes of recognizable situations in the form of membership functions corresponding regions of the feature space. In the course of developing automated ERP systems, it is necessary to apply direct methods for characterization of classes of recognizable situations. As shown by the analysis of typical SR tasks solved in ERP systems, in practice a feature space can contain many hundreds and even thousands of attributes. In this case, the number of examples of situations belonging to a particular class, as a rule, is limited to tens of units. Therefore, for classical learning algorithms, the required length of a training sequence for SR tasks of practical importance, as a rule, many times exceeds the disposable number of examples of environment. The source of information necessary for the construction of such a priori descriptions can be experts who can solve SR tasks in a non-automated way in conditions of psychological comfort.
“…At the current stage of science and especially technology development more attention paid not to the technical but to the software implementation of various storage processes, transition process, information processing and analysis in the operation of the control system. It is the software part of the system is the main component of the price of control systems for their modification and development for today [1,[8][9][10][11][12]. Under such approaches, the intensive development of economic and mathematical control methods, the implementation of ECM into spheres of human productive activities possessing high speed response, logical flexibility, huge memory space, served as the basis for the development of special operations automated control systems (ACS of SO which qualitatively changed the management formula and significantly increased its effectiveness.…”
The relevance of improvement and difficulty of establishing ERP systems and methods of their development is considered. The features of the development of special mathematical and software implements strategy ERP system shows effective ways formalized description of the classes of recognizable situations in the form of membership functions corresponding regions of the feature space. In the course of developing automated ERP systems, it is necessary to apply direct methods for characterization of classes of recognizable situations. As shown by the analysis of typical SR tasks solved in ERP systems, in practice a feature space can contain many hundreds and even thousands of attributes. In this case, the number of examples of situations belonging to a particular class, as a rule, is limited to tens of units. Therefore, for classical learning algorithms, the required length of a training sequence for SR tasks of practical importance, as a rule, many times exceeds the disposable number of examples of environment. The source of information necessary for the construction of such a priori descriptions can be experts who can solve SR tasks in a non-automated way in conditions of psychological comfort.
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