Models of adaptive integration of weighted interval data in tasks of predictive expert assessment | Zendy

Ігор Рубан | Zendy; Hennadii Horenskyi | Zendy; Yuri Romanenkov | Zendy; Daniil Revenko | Zendy

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Models of adaptive integration of weighted interval data in tasks of predictive expert assessment

Author(s) -

Ігор Рубан,

Hennadii Horenskyi,

Yuri Romanenkov,

Daniil Revenko

Publication year - 2022

Publication title -

eastern-european journal of enterprise technologies

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.268

H-Index - 24

eISSN - 1729-4061

pISSN - 1729-3774

DOI - 10.15587/1729-4061.2022.265782

Subject(s) - interval (graph theory) , a priori and a posteriori , computer science , parametric statistics , process (computing) , data mining , object (grammar) , prediction interval , interval arithmetic , relevance (law) , mathematical optimization , algorithm , machine learning , mathematics , artificial intelligence , statistics , mathematical analysis , philosophy , epistemology , combinatorics , political science , law , bounded function , operating system

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