An expert system prototype for the assessment of the degree of difficulty of topographical survey tasks

Pao Yue-kong Library Electronic Theses Database

An expert system prototype for the assessment of the degree of difficulty of topographical survey tasks

 

Author: Chow, Kwan-lam
Title: An expert system prototype for the assessment of the degree of difficulty of topographical survey tasks
Degree: M.Sc.
Year: 1997
Subject: Topographical surveying
Expert systems (Computer science)
Hong Kong Polytechnic University -- Dissertations
Department: Dept. of Computing
Pages: vii, 85, [103] leaves : ill. ; 31 cm
Language: English
InnoPac Record: http://library.polyu.edu.hk/record=b1405586
URI: http://theses.lib.polyu.edu.hk/handle/200/427
Abstract: Assessing the degree of difficulty of topographical survey tasks requires expertise and experience, and is important for both internal resource planning and outsourcing for various engineering departments of the Hong Kong Government. Before a survey task is invited for tender, the relevant department should have estimated the cost as accurate as possible for purposes of seeking the necessary fund from the financial authority. Estimation of cost for a topographical survey largely depends on the degree of difficulty of the task. The more difficult the job, the more time and hence the fund are required, or vice versa. By simple correlation with the time, which depends on the difficulty of a job, to a scale of charge, the cost can be easily estimated. The scope of work in this research is focusing in the design and building up of an expert system prototype for the assessment of the degree of difficulty of topographical survey tasks. This is worthwhile attempting since estimation itself is purely on human intuitive. An Expert System does have no bias in the assessment process and can increase the quality of decision by providing consistent advice and reducing the possibility of errors. The system prototype is developed by one of the existing expert system shells, KAPPA-PC, being available in the Hong Kong Polytechnic University and is built according to a 5-tier framework, i.e. the simplified dependency diagram, the object hierarchy, knowledge acquisition questionnaire, object/class quick reference tables, and rules set quick reference tables. It has been verified and validated by making reference to some recently completed cases, and evaluated by users. This expert system prototype, if accepted and further developed, will be the first expert system being used by the local land surveying industry for administrating affairs in relation with the diagnosis of degree of difficulty for survey tasks.

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