Fuzzy quality evaluation of the information system

Abstract

The article considers the task of assessing the quality of an intelligent decision support system for monitoring complex technical systems. A hierarchical system of indicators of the information system quality is presented, with account to the specifics of the subject area. It is proposed to use information power as a generalized indicator of the quality of the upper level which is formed from group indicators of the 1st level: information potential, functional suitability, level of performance, compatibility, usability, reliability, security and maintainability. To aggregate heterogeneous indicators, both quantitative and qualitative, at various levels of the system hierarchy, measured on different scales and having a different range of values, an approach based on a fuzzy classification of parameter values and fuzzy inference using the Takagi-Sugeno algorithm is used. The quantitative assessment of the indicator is supplemented by a qualitative assessment, expressed in the form of a linguistic description and the degree of evaluative confidence in the result of the assessment, which is understandable and convenient when used in the decision development process. The considered structure of quality indicators and a fuzzy model for their assessment can be applied in the quality management of existing and promising decision support systems and automated information systems.