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A Reuse Design Decision Support System Based on Self-Organizing Maps

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Abstract

This paper demonstrates the advantages of combining computer attributes with human attributes for useful cooperation in reuse design decision making. In this field of design, the final decision is generally made by a human, since they are better at interpreting the structure of the data than a computer, provided that the data is processed and presented in a clear and comprehensible way. A good approach to processing data is visualization, which can be performed by the data mining method Self-Organizing Maps (SOM). SOM can be used to effectively visualize the structures and connections in the available data.

Keywords

  • Fracture Strength
  • Product Variant
  • Preparation Phase
  • Decision Phase
  • Elementary Requirement

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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© 2011 Springer-Verlag London Limited

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Feldhusen, J., Nagarajah, A., Schubert, S., Brezing, A. (2011). A Reuse Design Decision Support System Based on Self-Organizing Maps. In: Birkhofer, H. (eds) The Future of Design Methodology. Springer, London. https://doi.org/10.1007/978-0-85729-615-3_6

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  • DOI: https://doi.org/10.1007/978-0-85729-615-3_6

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  • Publisher Name: Springer, London

  • Print ISBN: 978-0-85729-614-6

  • Online ISBN: 978-0-85729-615-3

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