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Knowledge Management System for the Personnel Selection”

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Knowledge Management System for the Personnel Selection”
ΤΕΙ ΠΕΙΡΑΙΑ

MSc IN ELECTRONIC COMMERCE

COURSEWORK

MODULE: Knowledge Management “Knowledge Management System for the Personnel Selection”

Module Co-ordinator: Stavroula Mparmpounaki

Date of Module: 26/06/2009

Name of Student: SIDIROPOULOS IOANNIS

Introduction
Our aim is to create an expert management system of knowledge which will set the candidates to the appropriate working positions in various enterprises and organizations. This expert system will be used by a corporation which co-operate with enterprises and organizations as well as with candidates aiming at coverage vacancies to informing relevant to labor market and the support of the young seeking for work. The system will be based on registry specific information both for the candidates and the enterprises. The expert system with the help of Rule-Based System will be able to suggest candidates for specific positions in the enterprises.

Methodology
The methodology practice of the selection and positioning candidates mechanism to the appropriate employment positions initially includes the collection of information. 1 Definition of the enterprises in which candidates have been engaged in so far. 2 Definition of the sensible topics, skills that have been offered from the enterprises so far. 3 Definition of the skills that have been requested from the candidates so far. We select the enterprises with which the corporation has been co-operated in the past with the employment of the candidates and we categorize them based on the activation as well as the specialties. Afterwards, there should be a setting of knowledge, abilities and skills required per position for sensible topics and specialties. Moreover, it is defined whether particular skills are required according to the qualifications of the innervation of the enterprise. The setting of skills and qualifications that are required for every specialty is done by the people in charge of the enterprise. The grade of significance for



References: Berkan R.C. (1997): Fuzzy systems design principles, IEEE Press Klir G.J. & Yuan B (1995): Fuzzy sets and Fuzzy logic – Theory and applications, Prentice HallJang Kartalopoulos S.V.(1996): Understanding neural networks and fuzzy logic, IEEE Press Supjarerndee, S.; Temtanapat, Y.; Phalavonk, U.(2002) Recruitment filtering with personality-job fit model Page(s):46 – 51 Dafoulas, G.A.; Pateli, A.G.; Turega, M.(2002): Business-to-employee cooperation support through online job interviews: Database and Expert Systems Applications, Page(s):286 - 292

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