Assessing key knowledge representation techniques for use in HRM problem domains

摘要

To provide an appropriate expert system development technique which is dependent on a particular domain, selecting the best knowledge representation technique is regarded as one of the most important tasks. We evaluated and selected key knowledge representation techniques confined to human resource management problem domains including planning, selection, placement, compensations, performance evaluation, training and labor-management relations. Two exploratory phases are presented. In the first phase, we scored rules, frames, semantic nets and predicate logic representation techniques in terms of Likert's rating scheme. In the second phase, we prioritized them using the combined Analytic Hierarchy Process.