КФУ. Карточка публикации. 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)

Форма представления

Статьи в зарубежных журналах и сборниках

Год публикации

2019

Язык

английский

Авторы, сотрудники КФУ

Ахметова Ирина Анатольевна, автор

Кашапов Рамиль Наилевич, автор

Хамидуллина Гульнара Рафкатовна, автор

Шихалёв Анатолий Михайлович, автор

Другие авторы

Рожко Оксана , автор

Библиографическое описание на языке оригинала

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.

Аннотация

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.

Ключевые слова

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

Название журнала

IOP Conference Series: Materials Science and Engineering

URL

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

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https://repository.kpfu.ru/?p_id=203592

Полная запись метаданных

Поле DC	Значение	Язык
dc.contributor.author	Ахметова Ирина Анатольевна	ru_RU
dc.contributor.author	Кашапов Рамиль Наилевич	ru_RU
dc.contributor.author	Хамидуллина Гульнара Рафкатовна	ru_RU
dc.contributor.author	Шихалёв Анатолий Михайлович	ru_RU
dc.contributor.author	Рожко Оксана	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/?p_id=203592	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	Статьи в зарубежных журналах и сборниках	ru_RU