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

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THE MULTICRITERIA ESTIMATION OF THE RUSSIAN FEDERATION REGION DISTRICTS PROMISING FOR THE LOGISTIC OBJECTS PLACEMENT (ON THE REPUBLIC OF TATARSTAN EXAMPLE)

Form of presentation

Articles in international journals and collections

Year of publication

2019

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Authors, employees of KFU

Akhmetova Irina Anatolevna, author

Kashapov Ramil Nailevich, author

Khamidullina Gulnara Rafkatovna, author

Shikhalyov Anatoliy Mikhaylovich, author

Other authors

Rozhko Oksana , author

Bibliographic description in the original language

Shikhalev A.M., Akhmetova I.A., Vorontsov D.P., Khamidullina G.R., Kashapov N.F., Rozhko O.N. The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the Republic of Tatarstan example) // 2019 IOP Conference Series: Materials Science and Engineering, Volume.., p.

Annotation

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.

Keywords

Optimization, decision making tasks, clustering, spectrum, fuzzy sets.

The name of the journal

IOP Conference Series: Materials Science and Engineering

URL

https://iopscience.iop.org/journal/1757-899X

Please use this ID to quote from or refer to the card

https://repository.kpfu.ru/eng/?p_id=203592&p_lang=2

Full metadata record

Field DC	Value	Language
dc.contributor.author	Akhmetova Irina Anatolevna	ru_RU
dc.contributor.author	Kashapov Ramil Nailevich	ru_RU
dc.contributor.author	Khamidullina Gulnara Rafkatovna	ru_RU
dc.contributor.author	Shikhalyov Anatoliy Mikhaylovich	ru_RU
dc.contributor.author	Rozhko Oksana	ru_RU
dc.date.accessioned	2019-01-01T00:00:00Z	ru_RU
dc.date.available	2019-01-01T00:00:00Z	ru_RU
dc.date.issued	2019	ru_RU
dc.identifier.citation	Shikhalev A.M., Akhmetova I.A., Vorontsov D.P., Khamidullina G.R., Kashapov N.F., Rozhko O.N. The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the Republic of Tatarstan example) // 2019 IOP Conference Series: Materials Science and Engineering, Volume.., p.	ru_RU
dc.identifier.uri	https://repository.kpfu.ru/eng/?p_id=203592&p_lang=2	ru_RU
dc.description.abstract	IOP Conference Series: Materials Science and Engineering	ru_RU
dc.description.abstract	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.	ru_RU
dc.language.iso	ru	ru_RU
dc.subject	Optimization	ru_RU
dc.subject	decision making tasks	ru_RU
dc.subject	clustering	ru_RU
dc.subject	spectrum	ru_RU
dc.subject	fuzzy sets.	ru_RU
dc.title	The multicriteria estimation of the Russian Federation region districts promising for the logistic objects placement (on the Republic of Tatarstan example)	ru_RU
dc.type	Articles in international journals and collections	ru_RU