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A Case-Base Reasoning System for Predicting the Economic Situation of Enterprises — Tacit Knowledge Capture Process (Externalization)

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Part of the book series: Advances in Soft Computing ((AINSC,volume 45))

Abstract

The Case-Based Reasoning methodology is used to develop Knowledge Management Systems (KMS). First, this paper introduces various case-based reasoning cycles. Next, the focus is on defining procedures for case indexing. The procedures are based on multiple-criteria methods supporting a decision-making process, such as EUCLID and ELECTRE TRI. The indexing procedures form also a knowledge transformation cycle (from implicit to explicit knowledge) known as externalization. The author developed a subsystem, which supports the implementation of this cycle. The UML diagrams show the structure of the SOK-P1 subsystem. The author developed an ontology of enterprise assessment. The subsystem presented uses the taxonomies of the enterprise potential and business risks, as well as thesauruses, which are a set of suggestions for assessors.

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© 2007 Springer-Verlag Berlin Heidelberg

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Andreasik, J. (2007). A Case-Base Reasoning System for Predicting the Economic Situation of Enterprises — Tacit Knowledge Capture Process (Externalization). In: Kurzynski, M., Puchala, E., Wozniak, M., Zolnierek, A. (eds) Computer Recognition Systems 2. Advances in Soft Computing, vol 45. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75175-5_89

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  • DOI: https://doi.org/10.1007/978-3-540-75175-5_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75174-8

  • Online ISBN: 978-3-540-75175-5

  • eBook Packages: EngineeringEngineering (R0)

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