Fuzzy Models and System Technical Condition Estimation Criteria

Korshunov, G. I.; Смирнов, В. А.; Frolova, E. A.; Nazarevich, S. A.

doi:10.1007/978-981-15-0637-6_15

Cited by 6 publications

References 5 publications

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Cosserat’s theory for quality assessment processes for filamentary additive manufacturing products

Chabanenko

Kurlov

2022

J. Phys.: Conf. Ser.

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Computer modeling of the behavior of materials is very important for the development of additive technologies at the present stage. This article is devoted to a review of models that can and should be used for numerical modeling of material deformation as applied to additive technologies in the process of layer-by-layer synthesis, as well as an exposition of the Cosserat elastoplastic model, the rationale for its application for modeling plastic deformation in structurally inhomogeneous materials such as polymers for additive manufacturing.

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Cosserat’s theory for quality assessment processes for filamentary additive manufacturing products

Chabanenko

Kurlov

2022

J. Phys.: Conf. Ser.

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Fuzzy model for assessing the organizational effect of an intelligent process control system

Смирнов¹,

Milova

Smirnova

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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The article considers the problem of assessing the organizational effect of the functioning of an intelligent decision support system for controlling complex technical systems at the level of a technological control system. The level of organization of activity is used as an indicator of the organizational effect of an intellectual system. To obtain the numerical values of individual indicators of organizational effects, a system of mathematical models is presented that takes into account the specifics of the subject area. Aggregation of heterogeneous indicators to obtain generalized and complex indicators, which are measured on different scales and have a different range of values, is based on a fuzzy classification of parameter values and a fuzzy inference model using the Takagi-Sugeno algorithm. The obtained quantitative assessment of the organizational effect is complemented by a qualitative assessment containing a linguistic description of the level of organization of activities and the degree of expert’s confidence in the result. The considered system of mathematical models for calculating the indicators of the organizational effect can be supplemented depending on the goals, the degree of detail and the depth of analysis and used in the analysis of the effectiveness of existing and future decision support systems and automated information systems at all stages of the life cycle.

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Targeted approach to assessing the organizational effectiveness of an intelligent process control system

Смирнов¹,

Milova

Smirnova

et al. 2021

IOP Conf. Ser.: Mater. Sci. Eng.

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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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Fuzzy Models and System Technical Condition Estimation Criteria

Cited by 6 publications

References 5 publications

Cosserat’s theory for quality assessment processes for filamentary additive manufacturing products

Cosserat’s theory for quality assessment processes for filamentary additive manufacturing products

Fuzzy model for assessing the organizational effect of an intelligent process control system

Targeted approach to assessing the organizational effectiveness of an intelligent process control system

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