Event Trees Transformation for Rule Bases Engineering.
MIPRO(2019)
Abstract
The paper describes an approach for rule bases engineering by transforming event tree diagrams which are applied in the field of failure and risk analysis of technical systems. The approach is based on the identification and extraction of structural cause-effect elements of event trees and their transformation into the elements of a target knowledge representation language, in particular, CLIPS. Description of an extended event tree formalism, an event tree metamodel and transformation technique are presented. An illustrative example describes the development of a rule-based knowledge base for diagnosing and forecasting the states of complex technical systems based on the approach proposed.
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Key words
knowledge acquisition, knowledge base, rules, event trees, model transformation, code generation, CLIPS
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