| Author: | Chan, Fuk-tong Tom |
| Title: | A prototype expert system in supporting selection of applicants in recruitment exercise |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Employee selection -- Data processing Fuzzy systems Expert systems (Computer science) Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Computing |
| Pages: | 75 leaves : ill. ; 30 cm |
| Language: | English |
| Abstract: | This project describes the development of a fuzzy expert system to help personnel officers or line managers to shortlist job applicants among the potential candidates in a recruitment exercise. Shortlisting applicants in a recruitment exercise is a time consuming exercise. Although the screening of applications is an important part of the recruitment process, for many organisations it is an unstructured part. It is common in organisations to overlook the time needed to review application forms. Moreover, the personnel officers and line managers feel that it is difficult to delegate this aspect of work as junior staff do not have sufficient experience to make selection decisions. Therefore, computer technology would help considerably to improve the screening process. With the help of an expert prototype system, it would complement human professionals to shortlist the applicants so that personnel officers or line managers could release their valuable time to do more challenging and higher-value activities. On the other hand, the fuzzy logic techniques have the ability to utilise natural languages in the form of linguistic variables. It can handle inexact and vague information in many practical applications. This prototype system has demonstrated the use of fuzzy expert system technology in supporting selection of applications in a recruitment exercise. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b1532137x.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.47 MB | Adobe PDF | View/Open |
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