New Model Distances and Uncertainty Measures for Multivalued Logic Научная публикация
| Журнал |
Lecture Notes in Computer Science
ISSN: 0302-9743 , E-ISSN: 1611-3349 |
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| Вых. Данные | Год: 2018, Том: 9883, Страницы: 89-98 Страниц : 10 DOI: 10.1007/978-3-319-44748-3_9 | ||||
| Ключевые слова | Distances on formulas of n-valued logic Metrics Uncertainty measures Cluster analysis Pattern recognition | ||||
| Авторы |
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Реферат:
There is an increasing importance of problems regarding the analysis of propositions of experts and clustering of information contained in databases. Propositions of experts can be presented as formulas of n-valued logic Ln. This paper is concerned with defining metrics and degrees of uncertainty on formulas of n-valued logic. After metrics and degrees of uncertainty (as well as their useful properties) have been established, they are used for the cluster analysis of the sets of n-valued formulas. Various clustering algorithms are performed and obtained results are analyzed. Established methods can be further employed for experts propositions analysis, clustering problems and pattern recognition.
Библиографическая ссылка:
Vikent’ev A.
, Avilov M.
New Model Distances and Uncertainty Measures for Multivalued Logic
Lecture Notes in Computer Science. 2018. V.9883. P.89-98. DOI: 10.1007/978-3-319-44748-3_9 Scopus OpenAlex
New Model Distances and Uncertainty Measures for Multivalued Logic
Lecture Notes in Computer Science. 2018. V.9883. P.89-98. DOI: 10.1007/978-3-319-44748-3_9 Scopus OpenAlex
Идентификаторы БД:
| Scopus: | 2-s2.0-84986205354 |
| OpenAlex: | W2518304532 |