The article presents a model, which includes the list of consumer qualities for evaluation of technical level of washing machines using developed scoring system for each characteristics and parameters weight coefficients. The evaluation of washing machines according to developed model is performed and recommendations for improving of quality level of washing machines in technical field are given. Evaluation of safety, functionality and reliability of appliance is a base for quality evaluation of household appliances. This topic is actual because the normative documents regulate the requirements for the product, but there is no methods, needed for evaluation of product from technical point of view. Novelty of the topic is that developed methodic allow to evaluate technical level of appliance, to define advantages and disadvantages of produced products based on weighting factors of parameters, calculated according to consumer properties and technical characteristics. The authors of this article defined following tasks: to develop registers of consumer properties with detailed nomenclature of indicators for evaluation of technical level according to normative documentation, to calculate weighting factors of parameters for each level of consumer properties, to define measurement method of each parameter, to develop evaluation model for technical properties and scale for evaluation. The developed method was used in production of household appliances (washing machines). During evaluation process, a number of models were evaluated and the products with low technical level were identified. The developed method gives an opportunity for production firms to analyze quality of products from point of view of safety, functionality and reliability and to define parameters, which are needed to be improved.
The article describes the tasks of in-depth estimation of the systems technical condition based on fuzzy ideas about the behavior of parameters within the tolerance limits. The proposed approach allows to more accurately control the influence of influencing factors at different stages of the life cycle of systems compared with the known methods. The approach is based on the application of six local criteria and a comprehensive criterion for assessing the level of system working capacity. The criteria are based on time series, linguistic variables, membership functions, and the proposed fuzzy classifier algorithm. Taking into account the peculiarities of the dynamics of changes in parameters in the tolerance field provides new opportunities for managing the life cycle processes of systems. The value of the evaluation of the level of working capacity is defined as the left most maximum of a fuzzy set for the corresponding output linguistic variable or the smallest of the modal values if the fuzzy set has several modal values. The quantitative estimation of working capacity is complemented by a qualitative estimation, expressed in the form of a linguistic description of the level of working capacity and degree of evaluation confidence in the result of recognition, understandable to the end user and convenient in making management decisions and developing recommendations at the stages of the life cycle.
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.
The article considers the problem of assessing the effectiveness of an intelligent decision support system for controlling complex technical systems at the level of a technological control system. To build a model for assessing the effectiveness of an information system, a pragmatic approach to measuring the value of information and an intelligent technology for forming a solution based on a Bayesian trust network were used. As an indicator of the pragmatic efficiency of the information system, it is proposed to use the pragmatic efficiency coefficient. It is determined by the increase in the probability of achieving the goal set for the technological control system, achieved through the use of additional information in decision-making. It is proposed to use the probability of error-free and timely execution of control as a target indicator characterizing the quality of control performance. The determination of the values of the target indicator of the control system with and without the use of the information system is carried out using the Bayesian trust network, which takes into account the relationship of the most significant elements of the technological control system. In comparison with the known methods, the proposed approach to assessing the effectiveness of an intelligent decision support system is based on joint use: a model for measuring the value of information and an adapted Bayesian model for calculating a target quality indicator. The approach considered in the article makes it possible to determine the coefficient of pragmatic efficiency, taking into account the value of the information produced to achieve the set goal and the uncertainty of the initial data.
The article considers a target approach to assessing the organizational effectiveness of the functioning of an intelligent decision support system for controlling complex instrumental equipment at the level of a technological control system. As an indicator of organizational efficiency, it is proposed to use the degree of achievement of an organizational goal based on a comparison of the result obtained (the organizational effect of the intellectual system) and the goal (improving the quality of management decisions). To determine the organizational effect, the indicator of the level of organization of activities is used, and for the quantitative presentation of the goal - the coefficient of the quality of managerial decisions, which characterizes their accuracy and timeliness. It is proposed to supplement the quantitative assessment of effectiveness with a qualitative assessment in the form of a verbal description of the degree of achievement of the organizational goal, which is more understandable and convenient for decision-makers. To obtain a qualitative assessment, a five-level fuzzy classifier of an indicator of the organizational effectiveness of an intelligent system is used. The obtained theoretical results can be applied in the development and implementation of intelligent systems to analyze their organizational effectiveness at all stages of the product life cycle.
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