The aim of shaping management empathy is to know future specialists’ performance and their improvement in human-computer-machine dialogue. Therefore, we’ve defined the concept of management empathy and we’ve built fuzzy models that allowed the quantification of the empathic level manager-executed in the idea of increasing human elements of the correlation educator-teacher. Interpretation of the empathic level of couples subject to training allows reducing education time on the knowledge of the characteristic function and the likelihood of success in achieving empathy for maximum efficiency. This desideratum can be commensurate with the calculation and minimization of information entropy. The premises of convergent engineering are presented briefly as: design and performance of products are made by a team; problems are shaped and resolved in parallel and not based on serial design; the product under design receives a complete information system of high efficiency. At the implementation of convergent engineering, design time is reduced – issuance of a third against the classic serial engineering and costs decrease directly related to the dose of natural and/or artificial intelligence used to substantiate costs.

Construction and application of decisions in robotic intelligent systems defines the concept, knowledge of operating tools selection of performers according to archemic criteria. The combination between hard-soft combinations of structures helped to create automation computing with at least two reaction loops.
For fuzzy modeling of managers and performers is used the theory of non-deterministic non-determinates of the form:

The behavior of managers in the fuzzy interaction with performers acting randomly is shaped with a performance function.
In the first loop intelligent robots are working and in the second loop, human makers. On this basis expert systems developed as the premises of computer aided design and production off and on-line. In the computerized systems, the design documentation may be sent directly to the assembly by visual screens without making intermediary drawings and projects on paper. Due to the computer integration of production with on-line structure design predictive decisions can be develop to prevent risks in supervised intelligent robot systems. If makers have archemic qualities then computer automation schemes enable triggering actions of actions in real time and conduct labor productivity over 300% compared to traditional methods of working. In this way value systems link (decision) to action systems which provides online increase in the quality and efficiency of the entire chain of design and assembly of robotic systems on the one hand and operating-development cost of intelligent robotic systems on the other hand. Decision models have these mechanical structures:
 Decision-making functions based on economic effects:
 Decision-making functions based on economic efforts:
 Decision-making functions based on information entropy:

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