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4.Èíôîðìàöèîííàÿ áåçîïàñíîñòü.
Dyusembekova A.
Kostanay State University named after A.Baytursynov,
Kazakhstan
Information systems of modeling in management of instability economic
system
Information system of economic object is a control system basis. It
constantly changes, there are the new information streams caused by broad
introduction of computer aids. The functional purpose and type of information
system depend on what interests and at what level it serves.
Various definitions of economic information systems are known:
• it is the Wednesday which making elements are computers, computer
networks, software products, databases, the personnel, technical and
communication software;
• it is the system realizing automated collecting, processing and a
manipulation data and including technical means of data processing, the
software and the service personnel.
Properties of economic information systems:
• they are dynamic, constantly develop, can be subjected to the analysis;
• at their design the principle of the system approach assuming existence
and the accounting of a large number of system elements connected among
themselves is used;
• functioning of systems of all levels is carried out in the conditions of
their interaction with environment, in the presence of the general for them the
management purpose;
• in the course of realization of functions of management continuous
interaction of users and technical means takes place;
• decisions necessary for management are made on the basis of system of
output information received in the course of functioning.
Information systems in economy can be estimated on different signs: on the
structural complexity, reliability of functioning, working capacity
(efficiency). Their functioning is usually directed on realization of several
purposes therefore quality of system is defined by set of the properties
characterizing its ability to satisfy needs of the user.
On the basis of single indicators integrated indicators of quality of system
(in standard, functional and economic aspects) pay off. The economic integrated
indicator characterizes compliance of cost characteristics of system to the set
standards or the feasibility study. The single-level system has the simple
linear structure, one criterion function and one operating function. The
multilevel system consists more than of one level, to each of them there
corresponds the criterion function and management function.
There are various classifications of economic information systems, each of
which pursues definite aims. Important classification signs are: the scale of
system and integration of its components, degree of structure of solved tasks,
complexity of algorithms of processing and others.
There are various classifications of economic information systems, each of
which pursues definite aims. Important classification signs are: the scale of
system and integration of its components, degree of structure of solved tasks,
complexity of algorithms of processing and others.
• on scope of application distinguish information systems accounting, bank,
insurance, tax and others;
• on extent of automation of information processes - manual, automatic,
automated;
• on character of solved tasks - the systems developed for the solution of
structured (formalizable) tasks, unstructured (not formalizable) tasks and
partially structured tasks (at the majority of solved tasks all elements and
interrelations between them are known not);
• on a processing mode - the
information systems working in package and in interactive modes. The package
technology is used generally in economic information systems of the centralized
type.
Emergence of new information technologies, development of intellectual
technical means allow to create information systems with high extent of
intellectualization which is shown:
• in expansion of functions of the all-system software;
• in development of new applied systems with elements of expert systems;
• in production process of planning, management and control of activity of
the enterprise in real time;
• in intellectualization of a technical platform (multipurpose devices,
multiprotocol adapters, virtualization of memory, communication channels,
etc.).
Modeling is a universal method of research of the systems, allowing to
design studied subject domain, to represent it by means of formulas, tables,
schedules, numerical examples. The model is the image of real object (process)
reflecting its essential properties and replacing it during research and
management. The description of activity of economic object simulars finds more
and more broad application as methodology of the description of processes
occurring there. The method is based on the principle of analogy, i.e.
possibility of studying of real object not directly, and through consideration
similar to it and more available object of its model.
Problems of economic-mathematical modeling:
• analysis of economic objects and processes;
• forecasting of future condition or behavior of objects and processes;
• statement of experiments with model with the subsequent interpretation of
their results in relation to modelled system;
• development of administrative decisions at all levels of economic
hierarchy;
• training of experts.
Economic systems treat the difficult systems possessing a number of
properties which need to be considered in the course of modeling. Such properties are:
• integrity of system;
• mass character;
• dynamism;
• accident and uncertainty, and so on.
Need of the accounting of the called properties complicates modeling
process, and designers of systems always should have them in a look, since the
choice moment like model and finishing use questions result of modeling.
Literature:
1. Informatics: The textbook / Under the editorship of N.V.Makarova. – M,
Finance and statistics, 1997.
2. Information systems: The manual / Under the editorship of V.N.Volkova. –
SPb, 1998.
3. Maksimov O.V., Nevzorov V.I. Information technologies for economists. -
Rostov-on-Don. - the Phoenix. – 2004.
4. Mishenina A. Theory of economic information systems. - Moscow. -
Finance. - Statistics. – 2010.
5. V.N.Petrov. Information systems. SPb.:piter, 2002.