Modelling technology based on fuzzy Bayesian belief networks
The basic components of information technology of inductive design of causal relationships are presented in the conditions of uncertainty on the basis of fuzzy belief Bayesian network. Technology is built on the basis of organic combination of methods of theory of belief network and theory of fuzzy...
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| Published in: | PROBLEMS IN PROGRAMMING |
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| Date: | 2026 |
| Issue: | 2-3 |
| Pages: | 584-592 |
| ISSN: | 1727-4907 |
| Author Affiliations: |
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| Keywords: | байєсові мережі довіри, нечітка імовірність, системи з невизначеностями, inductive modeling, невизначеність інформації, довірча ймовірність, deep belief networks, моделі імовірнісних залежностей, карта невизначеності, імовірність ризику |
| Main Authors: | , |
| Format: | Article |
| Language: | Ukrainian |
| Published: |
PROBLEMS IN PROGRAMMING
2026
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| Subjects: | |
| Online Access: | https://pp.isofts.kiev.ua/index.php/ojs1/article/view/957 |
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| Journal Title: | Problems in programming |
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Problems in programming| Summary: | The basic components of information technology of inductive design of causal relationships are presented in the conditions of uncertainty on the basis of fuzzy belief Bayesian network. Technology is built on the basis of organic combination of methods of theory of belief network and theory of fuzzy sets. The presented components will realize the complete cycle of probabilistic evaluation and prognostication of the states of the investigated systems in the conditions of uncertainty, and also visualization of the got results.Problems in programming 2010; 2-3: 584-592 |
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| ISSN: | 1727-4907 |