Threshold Functions and Operations in the Theory of Evidence

A. Lepskiy

doi:10.1007/978-3-031-67977-3_23

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Threshold Functions and Operations in the Theory of Evidence

Ch. 23. P. 216–224.

Лепский А. Е.

The article introduces and discusses threshold belief and plausibility functions. When forming such functions, only focal elements that are “significant” for a given set are taken into account. The significance of focal elements is determined using a similarity measure and a threshold. Threshold functionals of uncertainty, external and internal conflicts, threshold rules of combination are introduced and considered on the basis of threshold functions of the theory of evidence. A number of examples are given to illustrate the use of threshold tools.

Язык: английский

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Ключевые слова: theory of evidence similarity measures

ПУБЛИКАЦИЯ ПОДГОТОВЛЕНА ПО РЕЗУЛЬТАТАМ ПРОЕКТА:

Модели анализа данных и принятие решений в социально-экономической сфере (2024)

В книге

Belief Functions: Theory and Applications: 8th International Conference, BELIEF 2024, Belfast, UK, September 2–4, 2024, Proceedings

Vol. 14909: Lecture Notes in Computer Science. , Cham: Springer, 2024.

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In this paper an extension of tf-idf weighting on annotated suffix tree (AST) structure is described. The new weighting scheme can be used for computing similarity between texts, which can further serve as in input to clustering algorithm. We present preliminary tests of us-ing AST for computing similarity of Russian texts and show slight im-provement ...

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