Zhuravlyova I.V., Kharkiv National University of Economics, Ukraine

MANAGEMENT OF THE ENTERPRISE’ INTELLECTUAL SAFETY ON THE BASIS OF MULTI-AGENT SYSTEM

The number of studies devoted to addressing threats to the enterprise economic safety and its intellectual component increases under the conditions of crisis that has lasted far too long. Multidimensionality of the enterprise intellectual safety is caused by the variety of its components. In this aspect of the enterprise intellectual safety, large data arrays from wide variety of sources should be monitored and centers of databases and decision making should be shared between different structural units. Thus, the use of new intellectual safety management tools that develop behavior patterns to react against the threats for all decision-makers becomes actual. One such approach could be to build a decision support system (DSS) on the basis of multi-agent models which organize and coordinate the interaction of individual agents that process information from different data sources and produce a collective justifiable sound management decisions. The study purpose is to develop a model of collective decision-making on management of intellectual safety on the basis of multi-agent approach. This approach would solve the multifactor task of ensuring financial safety based on the distribution of management functions and accumulation of information centers monitoring. The set of decision management solutions of intellectual safety, can be identified with the abovementioned agent system.

Management of enterprise intellectual safety the aims to ensure the competitiveness, based on a system of principles and methods for developing and implementing management decisions not only on the experience of senior managers of units, but also through the use of automated tools of economic-mathematical modeling [8аа]. As a tool for management of intellectual security proposed to use Multi-agent system (MAS). The management system of intellectual safety, which seems set hierarchically interrelated and interdependent elements that reflect the content of certain priority processes of business entity at the moment [5zh, 6zh], as these are the elements in the mass intelligent agents.

Intelligent Agent (IA) is a software or hardware object (entity), autonomously functioning to achieve the objectives set for the user who has certain intellectual abilities. The basis of the intelligent agent is its knowledge base, the core of which performs ontology [3]. Building of ontological models allow to take into account all the possible links between objects of financial safety management, to form the corresponding pattern by which it becomes possible to meet the challenges of diagnosing threats and the emergence of prompt and timely solutions to prevent them in the management of business entities’ intellectual safety based on the results of monitoring. Association of agents to collective solve problems of enterprise intellectual safety management provides their collective behavior in MAS. Agents, which will act as managers of different business units, ie decision makers (DM), can interact with each other in solving individual problems in case of difficulties. Algorithm for collective decision-making aims to implementation of each stage of the process by group of specified agents. The output (results) operation previous groups of agents are inputs for following decision-making [4].

Simulation system of intellectual safety on the basis of multi-agent model provides a detailed description of the object, qualitative analysis and prediction of its dynamic characteristics. Such a management system that can be used to support decision-making under multi-criteria selection formed a large number of indicators and data that must be considered involves the formation of effective solutions based on processing a large amount of information that necessitates the use of appropriate automated application that will allow simultaneously consider all criteria effective functioning of the enterprise’ intellectual capital. The management system provides an optimized search for the best solution from the set of possible and organizes them for benefits [12]. As an agent of the proposed system will perform the managers of various parts of the enterprise that have specific knowledge base required for the organization of activities to prevent and leveling of the factors that affect the level of company’ intellectual safety.

Developed the ontological model of enterprise’ intellectual safety is presented in Fig. 1.

Figure 1. The ontological management model of the enterprise’ intelectual safety developed in the environment of «Protégé».

As indicators that assess intellectual safety of business entity used gross margin per unit of output, equity ratio^-1, return on equity (ROE), equity turnover ratio, the amount of intellectual capital, return on assets (ROA), the share of innovative products, gross margin, the share of intangible assets in total assets, gross profit / intangibles, gross profit / wages and salaries, value added intellectual coefficient (VAIC), structural capital efficiency (SCE), competentive capital efficiency (CCE), consumer capital efficiency (CCE). The increase in the market value of a business entity, the quality of earnings and optimal capital structure based on intellectual component were selected as the major financial interests of the enterprise in terms of the creation and use of intellectual capital.

This model takes into account factors and objectives of the enterprise strategy, uses semantic structure of knowledge about the environment, allowing enterprise to perceive multidimensional environment and act in it, adapting to the situation, monitor the status of intellectual safety and to choose an appropriate development strategy.

Література.

Vidal J.M. Fundamentals of Multiagent Systems [Електронний ресурс] / J.M. Vidal. – 2007. – 155 p. – Режим доступу: jmvidal.cse.sc.edu/library/vidalfmas.pdf