A Hybrid Case-Based Reasoner for Footwear Design

  • Julie Main
  • Tharam S. Dillon
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1650)


This paper details the way case-based reasoning has been used to aid footwear designers in creating new designs while maximizing component reuse. A hybrid system was created which uses an object-oriented memory model, neural networks for retrieval and fuzzy feature vectors to augment the basic case-based reasoning model. One of the main tasks involved in the design of any case-based system is determining the features that make up a case and finding a way to index these cases in a case-base for efficient and correct retrieval. This paper looks at the components of this footwear design system and how the various elements join together to create a useful system, in particular, how the use of fuzzy feature vectors and neural networks can improve the indexing and retrieval steps in case-based systems.


Neural Network Classi Cation Case Retrieval Case Base Reasoning System Correct Retrieval 
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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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Julie Main
    • 1
  • Tharam S. Dillon
    • 1
  1. 1.Dept of Computer Science and Computer EngineeringLa Trobe UniversityBundooraAustralia

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