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Article . 2023
License: CC BY
Data sources: Datacite
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Article . 2023
License: CC BY
Data sources: ZENODO
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ИСПОЛЬЗОВАНИЕ НЕЧЁТКОЙ ЛОГИКИ ДЛЯ ОПРЕДЕЛЕНИЯ КОЛИЧЕСТВА ЧАЕВЫХ В ЗАВЕДЕНИИ

ИСПОЛЬЗОВАНИЕ НЕЧЁТКОЙ ЛОГИКИ ДЛЯ ОПРЕДЕЛЕНИЯ КОЛИЧЕСТВА ЧАЕВЫХ В ЗАВЕДЕНИИ

Abstract

В работе предметом исследования является нечёткая логика как инструмент для решения задач и улучшение традиционной булевой логики. В ходе сравнения нечёткой логики и бинарной были выделены основные преимущества и возможные примеры использования нечёткой логики в реальных примерах. Рассмотрена каждая стадия процесса использования нечёткой логики для определения количества чаевых в заведении на основании качества еды, сервиса и общей атмосферы с примерами реализации решения на языке Python с использованием модуля skfuzzy. Основываясь на трёх нечётких показателях в виде качества еды, качества сервиса и атмосферы заведения, было получено численное значение процента чаевых.

Keywords

нечёткая логика, булева логика, искусственный интеллект, фаззификация, дефаззификация, Python, skfuzzy.

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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