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Солунская легенда: оригинальное славянское произведение или перевод с сирийского? Количественный подход к оценке правдоподобности альтернативных гипотез

Солунская легенда: оригинальное славянское произведение или перевод с сирийского? Количественный подход к оценке правдоподобности альтернативных гипотез

Abstract

Для количественного сравнения двух гипотез о происхождении «Солунской легенды» использован метод индуктивной логики, опирающийся на расчет отношения байесовых правдоподобий альтернативных гипотез. Расчет, в свою очередь, базируется на методах нечетких теорий вероятности и прогнозирования. Метод удобен для количественной оценки правдоподобия альтернативных гипотез в любой гуманитарной области, где количество всех подлежащих рассмотрению гипотез можно свести к двум.

The two hypotheses on the original language of the Thessalonican Legend are compared in a quantitative way using the procedures of Bayesian inductive logic. The ratio of likelihoods is calculated as that of fuzzy likelihoods using the apparatus of the theory of (intuitive) fuzzy sets. The method could be convenient in humanities for quantitative evaluation when the number of alternative hypotheses is reducible to two.

Keywords

«СОЛУНСКАЯ ЛЕГЕНДА», ПЕРВОНАЧАЛЬНАЯ СЛАВЯНСКАЯ ПИСЬМЕННОСТЬ, СЛАВЯНСКАЯ АГИОГРАФИЯ, ИНДУКТИВНАЯ ЛОГИКА, ПРАВДОПОДОБНОСТЬ ГИПОТЕЗЫ, ТЕОРЕМА БАЙЕСА, ИНТУИТИВНЫЕ НЕЧЕТКИЕ МНОЖЕСТВА

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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