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Intelligent Systems for Knowledge Management pp 65–86Cite as

Application of a Multi-domain Knowledge Structure: The Decisional DNA

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 252))

Abstract

Knowledge engineering techniques are becoming useful and popular components of hybrid integrated systems used to solve complicated practical problems in different disciplines. Knowledge engineering techniques offer features such as: learning from experience, handling noisy and incomplete data, helping with decision making, and predicting. This chapter presents the application of a knowledge structure to different fields of study by constructing Decisional DNA. Decisional DNA, as a knowledge representation structure, offers great possibilities on gathering explicit knowledge of formal decision events as well as a tool for decision making processes. Its versatility is shown in this chapter when applied to decisional domains in finances and energy. The main advantages of using the Decisional DNA rely on: (i) versatility and dynamicity of the knowledge structure, (ii) storage of day-to-day explicit experience in a single structure, (iii) transportability and share ability of the knowledge, and (iv) predicting capabilities based on the collected experience. Thus, after showing the results, we conclude that the Decisional DNA, as a unique structure, can be applied to multi-domain systems while enhancing predicting capabilities and facilitating knowledge engineering processes inside decision making systems.

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Author information

Authors and Affiliations

  1. Faculty of Engineering and Built Environment School of Mechanical Engineering, The University of Newcastle, University Drive, Callaghan, NSW, 2308

    Cesar Sanín, Leonardo Mancilla-Amaya, Edward Szczerbicki & Paul CayfordHowell

Authors
  1. Cesar Sanín
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  2. Leonardo Mancilla-Amaya
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  3. Edward Szczerbicki
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  4. Paul CayfordHowell
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Editors and Affiliations

  1. Institute of Informatics, Wroclaw University of Technology, Str.Wyb.Wypsianskiego 27, 50-370, Wroclaw, Poland

    Ngoc Thanh Nguyen

  2. Faculty of Management and Economics, Gdansk University of Technology, Str.Narutowicza 11/12, 80-233, Gdansk, Poland

    Edward Szczerbicki

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Sanín, C., Mancilla-Amaya, L., Szczerbicki, E., CayfordHowell, P. (2009). Application of a Multi-domain Knowledge Structure: The Decisional DNA. In: Nguyen, N.T., Szczerbicki, E. (eds) Intelligent Systems for Knowledge Management. Studies in Computational Intelligence, vol 252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04170-9_3

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  • DOI: https://doi.org/10.1007/978-3-642-04170-9_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04169-3

  • Online ISBN: 978-3-642-04170-9

  • eBook Packages: EngineeringEngineering (R0)

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