KNOWLEDGE BASED SYSTEM FOR MATCHING OF APPLICANTS TO JOBS

Abstract

Knowledge based systems assist human experts in solving problems in a given domain, especially where straightforward enumeration of solution possibilities tends to be explosive. In this study, a Knowledge Based System for Matching of Applicants to Jobs, christened KBSMAJ, is developed. The KBSMAJ has as its main objective, the matching of applicants to appropriate jobs, avoiding the frustration and some other problems inherent in the manual system of personnel procurement. It also produces periodic reports on existing jobs in various organisations to assist in job redistribution. The framework of KBSMAJ has four basic components. The first, which is the Knowledge Base, contains structured and unstructured knowledge of human resource management. Second, the Inference Engine, which employs the use of production rules in matching applicants to jobs. Third, the Decision Support System (DSS), which takes as input, the alternative matches of applicants to jobs and advises the human experts on the best match, based on some components, the cognitive filter and emotional filter. Fourth, is the User interface, which facilitates interaction between the user and the system. The implementation of KBSMAJ is carried out in Paradox Relational Database Management System (PRDBMS)environment. Hypothetical data are formed and the results of the processes are reported. The practical implementation of the system is carried out for the purpose of demonstrating the utility of the system and for gaining the confidence of the Human Resources managers (HRMs) who are the ultimate users of the system.