• Title of article

    Developing a CBR-based adjudication system for fatal construction industry occupational accidents. Part I: Building the system framework

  • Author/Authors

    Chen، نويسنده , , Wei Tong and Chang، نويسنده , , Po-Yi and Chou، نويسنده , , Kyle and Mortis، نويسنده , , Leonard Esmond، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    14
  • From page
    4867
  • To page
    4880
  • Abstract
    A framework for a decision-support system for adjudicating construction industry occupational accidents is developed using case-based reasoning (CBR) with a nearest-neighbor retrieval (NNR) search mechanism. One hundred thirty-three guilty verdicts of trial court judgments resulting from fatal construction occupational accidents (COAs) with injuries/deaths are collected, and 26 attributes, including 17 problem attributes (PAs) and nine solution attributes (SAs), are identified to describe the causalities between the accidents’ characteristics and the adjudgment results. Interpretive structural modeling (ISM) is used to build a three-layer hierarchy structure and to classify the 17 PAs into four aspect subsets (adjudgment background, accident condition, working environment and defendant). Each aspect and PA is weighted by using the AHP (analytic hierarchical process). Filter rules (FRs) for construction accidents and adaptation rules (ARs) to adjust for differences in accidents are formulated. The proposed system framework provides a platform for engineering professionals to understand the jurisprudence of occupational injuries/deaths in the construction industry and also serves as a reference to attorneys and justices. Additionally, the decision-support system may also educate the public in liability issues involved in COAs. An operational system is now under development based on the proposed system framework.
  • Keywords
    Construction occupational accident , Adjudication , case-based reasoning
  • Journal title
    Expert Systems with Applications
  • Serial Year
    2010
  • Journal title
    Expert Systems with Applications
  • Record number

    2348045