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JOURNALS // Artificial Intelligence and Decision Making // Archive

Artificial Intelligence and Decision Making, 2025 Issue 3, Pages 15–29 (Mi iipr636)

Decision support systems

Creation of diagnostic decision support systems using decision tables

N. O. Dorodnykha, O. A. Nikolaychuka, Yu. V. Kotlovb, A. Yu. Yurinab

a Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, Irkutsk, Russia
b Moscow State Technical University of Civil Aviation (Irkutsk Branch), Irkutsk, Russia

Abstract: One of the directions in the field of building diagnostic intelligent decision support systems is the research and development of approaches that allow end users to create and configure (adapt) software, taking into account the subject area and the task being solved without recompilation or reassembly. This paper describes the specialization of a model-driven methodology for prototyping declarative knowledge bases of expert systems and its supporting tools in the form of a domain-specific shell, namely iDSS.Desktop, the feature of which is the use of original decision tables. The main stages of the methodology, implemented algorithms, functions, and interface of the software are described, as well as an example of their application when creating AviaTekhPom.Terminal software to support technical specialists in troubleshooting civil aircraft.

Keywords: model-driven development, decision table, shell, intelligent system, diagnostics of aviation systems and complexes, AviaTekhPom.Terminal, iDSS.Desktop.

DOI: 10.14357/20718594250302



© Steklov Math. Inst. of RAS, 2025