Name
Abstract | ||
|---|---|---|
Systematic performance appraisal and ranking of candidates applying for promotion is important in strategic human resource management. In military organizations, it is particularly crucial to evaluate candidates for promotion and placement because their functions directly impact operations and national security. This paper proposes a framework that can be used to evaluate candidates based on unique performance evaluation criteria. The framework allows determination of the most qualified candidate by considering both quantitative scores and qualitative characteristics of his or her performance. It also ensures fairness, objectivity and transparency since evaluators first determine the metrics of performance evaluation as well as the weighting among the metrics before aggregating the appraisal scores to determine the ranking of each candidate. The ranking is determined by applying the fuzzy set operations and membership function. In order to decide the promotion rank of candidates, we propose a fuzzy ranking procedure in conjunction with a novel integrated performance appraisal and promotion ranking system. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ICSMC.2007.4414230 | SMC |
Keywords | Field | DocType |
fuzzy set theory,national security,systematic performance appraisal,strategic human resource management,fuzzy ranking,fuzzy theory,fuzzy set operation,performance evaluation criteria,membership function,performance appraisal,promotion ranking,military promotion screening,appraisal,group decision making,ranking system,military organization,fuzzy set | Weighting,Performance appraisal,Computer science,Fuzzy set operations,Fuzzy set,Artificial intelligence,Strategic human resource planning,Management science,Ranking,Operations research,Membership function,Machine learning,Group decision-making | Conference |
ISSN | ISBN | Citations |
1062-922X | 978-1-4244-0991-4 | 2 |
PageRank | References | Authors |
0.49 | 5 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chiung Moon | 1 | 145 | 10.00 |
| Joosung Lee | 2 | 14 | 1.89 |
| Chanseok Jeong | 3 | 37 | 2.98 |
| Jin Lee | 4 | 2 | 0.49 |
| Sung-Cheol Park | 5 | 4 | 1.37 |
| Si Yeong Lim | 6 | 19 | 3.11 |