COMPUTING CONFIDENCE IN CONCLUSIONS IN FUZZY RULE SYSTEMS IN CONCLUSION

Authors

  • Khurramov Alisher Khasanovich Karshi State University , Karshi , 180119, Uzbekistan

Abstract

Artificial intelligence ( AI ) methods are used as the main tool for decision-making in various information systems.

AI methods are fundamentally different from traditional statistical analysis methods, as they are designed to search for hidden patterns in databases and data warehouses and make decisions based on them.

 Decision making is based on calculation methods, in which there is no mechanism for substantiating the results obtained, for example, decision-making in artificial neural network systems.

References

Ignatiev N.A. Generalized estimates and local metrics of objects in data mining. Monograph. – Tashkent: Publishing House “University”, 2014. – 72 p.

Madraximov Sh.F., Rozykhodzhaeva G.A. Construction of fuzzy inference rules for diagnostics of atherosclerotic plaque instability// Journal Doctor and Information Technologies. Moscow – 2018. No. 3, – P. 81-88.

Expert systems. Operating principle and examples / edited by R. Forside; translated from English. – M.: Radio and communication, 1987. – 221 p.

Asan O, Bayrak AE, Choudhury A. Artificial Intelligence and Human Trust in Healthcare: Focus on Clinicians. J Med Internet Res. 2020 Jun 19;22(6):e15154. doi:10.2196/15154. PMID: 32558657; PMCID: PMC7334754, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334754 .

Gusev A.V., Astapenko E.M., Ivanov I.V., Zarubina T.V., Kobrinsky B.A. Principles of forming trust in artificial intelligence systems for healthcare. Bulletin of Roszdravnadzor. - 2022. - No. 2. - P.25-33.

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Published

2024-09-20