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EN
In the paper, the author’s conception of building an intelligent system for predicting economic situation of enterprises is presented. This conception is captured in the form of the prediction chain (PC). A process of reasoning by analogy is performed using a Case-Based Reasoning (CBR) methodology. In the paper, a model of an enterprise, concentrating on identification of the competence potential and competence gap, is shown. A protocol of an assessment of potential and assessment of competence gap in a given range, using the AHP (Analytic Hierarchy Process), is presented. Individual elements of a system for creating the knowledge are captured in the form of an A-E-AE (Agent-Expert-Acts of Explanation). The structures of classes in the Protege editor are shown. At the end, a coordination diagram in the UML language is depicted. This diagram makes up a diagram of the interface between an expert and a CBR system.
PL
W pracy przedstawiono architekturę systemu z bazą wiedzy, którego zadaniem jest ocena ekonomicznej kondycji przedsiębiorstwa. Baza wiedzy została skonstruowana w oparciu o ontologię A-E-AE (Agent-Ekspert-Akty Wyjaśniania). Przedstawiono diagram klas w edytorze języka OWL — Protege. Strukturę procesu wyjaśniania oceny ekonomicznej sytuacji przedsiębiorstwa przedstawiono na diagramie UML. Proces rozpoznawania w systemie jest oparty na metodologii CBR (Case-Based Reasoning) — wnioskowanie poprzez analogię z bazy przypadków.
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