Поиск статей
-
AUTOMATIC TECHNOLOGIES OF KNOWLEDGE MANAGEMENT IN AGRO INDUSTRIAL HOLDING
Description
In the article the main problem of management of agro industrial holding is generated and approaches to its decision are briefly reviewed on a basis of "management of knowledge", also a parity of data, information and knowledge, procedure of revealing of knowledge from data, a way of use of knowledge for forecasting and decision-making, stages of life cycle of the intellectual appendix and the basic results of application of the modern automated technology of management of knowledge - the Systemic cognitive analysis for management of agro industrial holding are examined
-
RESEARCH OF TWO-LEVEL SEMANTIC INFORMATION MODEL OF AGRO INDUSTRIAL HOLDING
Description
Research of two-level semantic information model of agro industrial holding means research of holding by itself, because verification of model showed its high adequacy.
-
Description
Initial data for designing of two-level semantic information model of management of agro industrial holding are analyzed in the article, task of their automatizing transformation to the form, directly sensing by the system “ AIDOS ” with the help of one of its standard interfaces is positioned and solved. Algorithm and initial program text, providing these functions, results of its work and automatically formed handbooks of classes and factors on their base by the system “ AIDOS ”, training fetch for private models, entering the two-level semantic information model of management of agro industrial holding are casted as well.
-
Description
Methodology of using systemic cognitive analysis for building multi-level semantic information model of agro-industrial holding management is formulated in the article in general. Based on this, solutions of forecasting problems and support of decision-making process of management and scientific researches are listed
-
Description
In the article the approach to increase of adequacy of semantic information models of management by knowledge after passage by modeled object of a point of bifurcation (change of ergodity period), realized in universal cognitive analytical Eidos system is examined
-
Description
Examples of setting and solving of prognosis tasks and support of decision takings (management) for agro industrial holding on the base of its two-level semantic informational model are casted.
-
SYNTHESIS AND VERIFICATION OF TWO-LEVEL SEMANTIC INFORMATION MODEL OF AGRO INDUSTRIAL HOLDING
Description
Sense of semantic information model SC- analysis is described on the simple example in the article. Results of synthesis and verification of systems of individual models, entering the two-level semantic information management of agro industrial holding.
-
Description
Management problem of agro industrial holding is formulated in the article in general, from one hand, it is necessary to work out recommendations and adaptive model on holding management for it, and from other hand, designing of its model is difficult because of high complexity and dynamics of inner logistics of an management object, its territorially distributed and multi branch character, large amount of economic indexes, characterizing its activity on different levels of its organization. General method of formulated problem decision by means of systemic-cognitive approach is offered. First stage of model synthesis is described: cognitive structure formation of private models, entering its multi-level semantic information model.
-
Description
In article the main problem of management of agro industrial holding is formulated and the basic results of its solution on the basis of application of the modern automated technology of management by knowledge, i.e. systemic-cognitive analysis (SC-analysis) are shown. The technology of cognitive functions of SC-analysis, providing both revealing of knowledge from empirical data, and use of this knowledge for decision-making support of management of holding as a whole, on the basis of management of characteristics of the sub-enterprises, is examined in details
pdf 253.709kb
doc 253.709kb