Научен доклад ID 2355 : 2023/4
CHARACTERIZATION OF THE “DETERMINATION BY DISPLACEMENT” APPROACH – DEFMOT WITH AN EMPHASIS ON THE ANALYSIS OF MULTIFACTORIAL MODELS

Nikolay Tonchev, Victor Georgiev, Nikolay Hristov, Yoan Kirilov

The report discusses the possibilities of presenting graphical analysis related to a way of automated search for rational solutions. They are referred to the modern automotive industry. Cases of presentation with an odd and even number of factors are classified, and attention is focused on one, two, three and four factors. The analysis methods associated with this presentation clarify decision support with the DEFMOT automated system.


multiparameter analysis automotive steels properties rational modes.multiparameter analysis automotive steels properties rational modes.Nikolay Tonchev Victor Georgiev Nikolay Hristov Yoan Kirilov

BIBLIOGRAPHY

[1] Tontchev N., Z. Cekerevac, (2014): Approach and Application in Multicriteria Decision Support in the Field of Materials Science. MEST Journal, (MEST) 2, no. 118-29.

[2] Tontchev N., M. Ivanov, (2014): Modeling and Optimization of the Composition of Iron – Based Alloys by Approximation with Neural Models and Genetic Optimization Algorithm, FBIM Transactions, 15, 2(1), pp. 1-12.

[3] Tontchev N., Y. Kalev, (2013): On the Formation of Expert Knowledge in the Metalworking Technology Cost, International virtual journal for science, technics and innovations for the industry, Machines, Technologies, Materials, VII, Issues 10, pp. 77 – 80.

[4] Tontchev N., Y. Kalev, (2013): Determining Influence of Alloying Elements on Properties of Alloys by Robust Experiment, MEST Journal, July, pp. 31 – 39.

[5] Tontchev N., N. Hristov, (2013): Numerical Procedure to Determine the Optimal Composition of the Steel a Small Volume Database with the Same Treatment, International virtual journal for science, technics and innovations for the industry, Machines, Technologies, Materials, VII, pp. 54 – 57.

[6] Koprinkova-Hristova P., N. Tontchev, S. Popova, (2013): Two approaches to multi-criteria optimization of steel alloys for crankshafts production, Int. J. Reasoning – based Intelligent Systems, Vol. 5, № 2, 2013, pp. 96 – 103.

 

 

 

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