A Technique for Rapid Development of Declarative Knowledge Bases for Aircraft Diagnostics Based on Decision Tables-Reference-Cited by-同舟云学术

A Technique for Rapid Development of Declarative Knowledge Bases for Aircraft Diagnostics Based on Decision Tables

Published:2022 Issue: Volume: Page:140-149
ISSN:2367-3370
Container-title:Artificial Intelligence Trends in Systems
language:
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Author:

Yurin Aleksandr Yu.^ORCID,Nikolaychuk Olga A.^ORCID,Dorodnykh Nikita O.^ORCID,Kotlov Yuri V.^ORCID

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-09076-9_13

Reference20 articles.

1. Moscow State Technical University of Civil Aviation, Irkutsk Branch. http://www.if-mstuca.ru/. Last Accessed 17 Jan 2022

2. Yurin, A.Y., Dorodnykh, N.O., Nikolaychuk, O.A., Grishenko, M.A.: Designing rule-based expert systems with the aid of the model-driven development approach. Expert. Syst. 35(5), 12291 (2018)

3. Kotlov, Y.V., Popov, V.M., Yurin, A.Y.: Towards designing knowledge bases for aircraft malfunctions diagnostics based on model trans-formations. J. Phys: Conf. Ser. 2060, 012016 (2021)

4. Dorodnykh, N.O., Kotlov, Y.V., Nikolaychuk, O.A., Popov, V.M., Yurin, A.Y.: End-user development of knowledge bases for semi-automated formation of task cards. CEUR Workshop Proc. 2913, 60–73 (2021)

5. Faisal, I.K., Abbasi, S.A.: Analytical simulation and PROFAT II: a new methodology and a computer automated tool for fault tree analysis in chemical process industries. J. Hazard. Mater. 75(1), 23–56 (2001)

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