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Improvement of retrieval in Case-Based Reasoning for system design

Abstract : The problematic addressed in this article is dealing with the improvement of retrieval in Case-Based Reasoning for system design. The retrieval activity is based on the evaluation of similarities between requirements (target) and the solutions (sources). However, similarities between features is often a subjective kind of knowledge difficult to formalize within companies. Based on an ontology of domain, the approach permits to retrieve compatible solutions rather than similar ones using a model of designer preferences. The requirements are modeled by means of constraints. When constraints are confronted to solutions in order to evaluate a compatibility measure, missing information within solutions with regard to requirements are taken into account using semantic similarities between concepts. A case study validates the proposals.
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Submitted on : Tuesday, April 8, 2014 - 9:54:53 AM
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  • HAL Id : hal-00975172, version 1
  • OATAO : 8867

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Thierry Coudert, Élise Vareilles, Laurent Geneste, Michel Aldanondo. Improvement of retrieval in Case-Based Reasoning for system design. IEEE Industrial engineering and engineering management - IEEM, Dec 2012, Hong Kong, China. pp. 1538-1542. ⟨hal-00975172⟩

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