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Управление экономическими системами: электроннный научный журнал
Article . 2013
Data sources: CyberLeninka - Russian open access scientific library
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Модель прогнозирования нечетких данных для решения бизнес задач предприятий ТЭК

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2013 Russian Publisher:Негосударственное образовательное учреждение высшего профессионального образования Кисловодский институт экономики и праваJournal:Управление экономическими системами: электроннный научный журнал (eissn: 1999-4516, Copyright policy )

Модель прогнозирования нечетких данных для решения бизнес задач предприятий ТЭК

Abstract

Предложена методология нечетких временных рядов для прогноза показателей развития территориально-производственных комплексов. Дана методика построения нечеткой структуры факторов и нечеткой базы знаний прогнозирования. Проведена оценка вероятности достоверности прогноза и анализ доверительных интервалов прогноза. Показана эффективность методов нечеткой логики по сравнению с эвристическими методами.

Keywords

ПРОГНОЗИРОВАНИЕ,ТЕРРИТОРИАЛЬНО-ПРОИЗВОДСТВЕННЫЙ КОМПЛЕКС,НЕЧЕТКИЕ ВРЕМЕННЫЕ РЯДЫ

  • BIP!
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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    		 Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    		 Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    		 Average
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
gold