The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the example of the Republic of Tatarstan)

International Scientific-Technical Conference on Innovative Engineering Technologies, Equipment and Materials 2018

材料科学;工业技术（总论）

Shikhalev, A.M.^1 ; Akhmetova, I.A.^2 ; Vorontsov, D.P.^1 ; Hamidullina, G.R.^1 ; Kashapov, N.K.^1 ; Rozhko, O.N.^3

Kazan Federal University, Engineering Institute, 18 Kremlyovskaya street, Kazan

420008, Russia^1

Kazan Federal University, Institute of Management, Economy and Finance, 18 Kremlyovskaya street, Kazan

420008, Russia^2

Kazan National Research Technical University Named after A. N. Tupolev, KAI, Institute for Aviation Land Transportation and Power Engineering, 10 Karl Marx street, Kazan

420111, Russia^3

关键词: Decision makers;    Decision making persons;    Decision making process;    Interactive mode;    Multicriteria problems;    Russian federation;    Significance levels;    Threshold-value;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/570/1/012095/pdf
DOI  :  10.1088/1757-899X/570/1/012095

来源: IOP

【 摘 要 】

We propose to analyse the multicriteria problem decision making process on the logistic objects placement example and are planning to solve the task in the following steps. We will try to find the alternative optimum to the analysed criteria and ranging the other alternatives beyond the optimum variant which will have the biggest conditional scores volume. The next stage is based on the decision-making person actions which are concerned with the maximizing the rationality in the quasioptimum variants choice. After that basing on the conditions with the big alternative number set the optimum variant could be added by the decisionmaker with the quasioptimum variants (decisions) in three stages. First of all it is necessary to establish the threshold value size in the interactive mode for the next calculations. On the second item of the process the manager mark the significance level for the subsequent set decomposition and then clustering it with the display of the districts multitude (like the images) on a spectral colors manifold (i.e. prototypes). And at last at the third step we propose the adjustment of quasioptimum alternatives number basing on the first choice being guided by the colors of its classes.