FORMATION OF AN INFORMATION IMAGE OF A GRADUATE OF A MODERN UNIVERSITY USING A FUZZY-GRANULAR APPROACH

Abstract

The paper investigates the main problems faced by specialists in the process of selecting of intellectual workplaces (IWP) which are associated with the features of the initial data, inaccurate formulation of the technical specifications for the system, the lack of a single criterion for the effectiveness of IWP. The approach to the formation of IWP in the creation of electronic information and educational environment of the University using the mathematical apparatus of fuzzy sets. On the base of the standard list of characteristics the unified structure of requirements is offered, allowing to consider features of IWP, as an element of the automated training, and features of the solution of tasks of processing of educational and administrative information. The most essential requirements are IWP performance, flexibility, universality, compatibility with control systems and laboratory equipment. When solving the problem of choosing the IWP for processing educational and management information, it is proposed to formalize the generalized requirements in the form of linguistic assessments using the apparatus of the theory of fuzzy sets and use the data structure to represent the parameters and requirements for the IWP. The fuzzy-multiple approach allowing to estimate the formed IWP on the base of the offered structure of requirements is developed. To describe the information space, a combination of logical-linguistic modeling approaches using the apparatus of the general theory of uncertainty and methods of non-factors is proposed. The resulting estimates were aggregated into a final IWP estimate. The proposed simulation allows establishing a fuzzy-multiple relationship between the input parameters of the IWP and its compliance with the proposed system requirements. The results obtained in the work allow forming an information image of a graduate of a modern University using IWP.

Keywords

• Electronic information educational environment
• intellectual workplace
• logical-linguistic modeling
• fuzzy projections