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An application of case based reasoning to predict structure maintainability

  • Haiquan Yu*
  • , Gaoliang Peng
  • , Wenjian Liu
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In order to complete maintainability design and prediction in design stage, case based reasoning (CBR), as an artificial intelligence (AI) method, is used in this paper. The maintainability of structure is considered in design stage. So the cases of structure including not only function factors but also maintainability factors are presented by frame. The retrieval algorithm about similar cases is put forward through two layers: function factors and maintainability factors. With CBR, the method could help designers, by referencing previous cases, to make a conceptual maintainability design and prediction quickly, and finally finish the detailed design and prediction. In this paper a new method is put forward to predict the maintainability of structure in design stage.

Original languageEnglish
Title of host publicationProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
DOIs
StatePublished - 2009
Event2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009 - Wuhan, China
Duration: 11 Dec 200913 Dec 2009

Publication series

NameProceedings - 2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009

Conference

Conference2009 International Conference on Computational Intelligence and Software Engineering, CiSE 2009
Country/TerritoryChina
CityWuhan
Period11/12/0913/12/09

Keywords

  • Analytic hierarchy process(AHP)
  • Case based reasoning (CBR)
  • Maintainability design
  • Maintainability prediction

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