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A knowledge based framework for planning house building projects

Formoso, CT 1991, A knowledge based framework for planning house building projects , PhD thesis, University of Salford.

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    Abstract

    This thesis describes the development of a knowledge based system which encapsulates some of the expertise used by a number of experienced construction planners for planning the construction stage of low rise house building projects in the U.K. The general objective of the research was to investigate the feasibility of using knowledge engineering for developing models of construction planning expertise, which could be employed for tackling some of the existing knowledge bottlenecks in the construction industry. The resulting system can be described as a knowledge based framework designed for supporting the decision making process involved in planning house building at a tactical level. One of the main features of this framework is its ability to cope with incomplete information. The knowledge acquisition process involved both the elicitation of knowledge directly from experts, and the analysis of construction plans from several past housing developments. The model was implemented on an expert system shell called LEONARDO Level 3, which runs in any standard IBM-PC micro-computer or compatibles. The evaluation of the system focused on the validity of the model, i.e. the degree at which the outcomes of the system resembled the outcomes of the human expertise being modelled in the knowledge base. A prescriptive method of validation was devised specifically for this study, involving both experts that had provided expertise for the system, and external experts.

    Item Type: Thesis (PhD)
    Contributors: Brandon, P(Supervisor)
    Themes: Built and Human Environment
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of the Built Environment
    Depositing User: Institutional Repository
    Date Deposited: 22 Sep 2011 15:51
    Last Modified: 14 Feb 2014 10:36
    URI: http://usir.salford.ac.uk/id/eprint/14738

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