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Keywords: energy-and resource savings; socio-technical system; rules-based fuzzy model; fuzzy cognitive model. The paper poses the problem of increasing the efficiency of energy-and resource saving in socio-technical systems, which consist of resource-intensive subsystems (for example, subsystems of electricity, heat and water supply). A compositional fuzzy model for efficiency estimating of energy-and resource saving of socio-technical systems is proposed. This compositional fuzzy model consists of the following models: firstly, a set of fuzzy cognitive models for estimating the effects of actions on the subsystems' indicators; secondly, a set of fuzzy rules-based models for efficiency estimating of energy-and resource saving of subsystems; thirdly, a generalized fuzzy model for efficiency estimating of energy-and resource saving of system as a whole. The procedure of compositional fuzzy modeling of energy-and resource saving in socio-technical systems is described.

A fuzzy model for the education quality evaluation of electric power engineering specialties students with the use of modern Internet technologies is described, which allows to take into account the different compatibility levels of various quality indicators used to form the estimation.

Leading technical universities of Russia and Kazakhstan, preparing engineers in the field of mechatronics, robotics and automation, combined their intellectual and material resources within the International University network project "Synergy". For practical training, FESTO equipment and its virtual counterparts are used primarily. Training of university students participating in the project has been organized, with lectures by leading professors on the Internet. Scientific Internet conferences of young scientists are regularly held. International Association DAAAM International regularly organizes international student practices. A doctoral school is being conducted, at the DAAAM annual symposium, the development of project participants is presented.

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