A generalized case based reasoning system for personnel performance evaluation

A Case Based Reasoning System (CBRS) is appropriate for an experience rich domain while a rule based system performs reasonably well in a knowledge rich application environment. A CBRS´s performance suffers when only very few cases are available. A generalized case based reasoning system (GCBRS) is proposed to remedy this weakness by incorporating domain theories represented as generalization rules. Applying these rules, existing cases can be generalized such that the possibility of solving a new case is higher than using case based reasoning along. The architecture and the inferencing mechanism of a GCBRS are discussed in this paper. A personnel evaluation support system (PESS), a decision support system (DSS) based on the proposed GCBRS architecture and developed in Prolog, is presented to demonstrate the feasibility of using GCBRS for developing DSS in a knowledge- and experience-poor domain. The paper is concluded with a discussion of future research