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Прогнозирование конкурентоспособности марочного товара с помощью нечётких баз знаний

descriptionPublicationkeyboard_double_arrow_right Article 26 Sep 2025 Russian Publisher:Інститут кібернетики ім. В.М. Глушкова НАН України

Прогнозирование конкурентоспособности марочного товара с помощью нечётких баз знаний

Abstract

Запропоновано модель конкурентоспроможності марочного товару, що враховує 10 факторів. Основу моделі складають 52 нечітких правила типу . Показано можливості застосування моделі для управління конкурентоспроможністю марочного товару. Поставлена задача навчання нечіткої моделі конкурентоспроможності за експериментальними даними.

A model of brand product competitiveness index is proposed. The model is taking into account 10 factors via 52 fuzzy rules . Possible ways for applications of the fuzzy model are discussed. A problem statement of fuzzy model training on the experimental data set is given.

Keywords

Экономические и управленческие системы

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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!
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