A performance appraisal and promotion ranking system based on fuzzy logic: An implementation case in military organizations

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Systematic performance appraisal and ranking of candidates applying for promotion is important in strategic human resource management. This paper discusses an approach for the promotion screening of candidates applying for a particular commission in amilitary organization. The approach uses a fuzzy set theory and electronic nominal group technique for ranking decisions fairly through the multi-criteria performance appraisal process. A new ranking procedure considering the metric distance and fuzzy mean value is proposed, which makes it possible to rank order the performance of the candidates by aggregating the scores from each evaluator. A new system for performance appraisal and promotion ranking is also developed. The system has a monitoring function which utilizes performance evaluation data without abnormal evaluation data, which could occur when a particular evaluator produces an incorrect result. The system was applied to a military organization in Korea. The results of example show that the systematic approach of the fuzzy procedure is an effective method for transparent and impartial multi-criteria performance evaluation. Crown Copyright (C) 2009 Published by Elsevier B.V. All rights reserved.
Publisher
ELSEVIER SCIENCE BV
Issue Date
2010-03
Language
English
Article Type
Article
Keywords

NOMINAL GROUP TECHNIQUE; DECISION-ANALYSIS; DISTANCE METHOD; NUMBERS

Citation

APPLIED SOFT COMPUTING, v.10, no.2, pp.512 - 519

ISSN
1568-4946
DOI
10.1016/j.asoc.2009.08.035
URI
http://hdl.handle.net/10203/97868
Appears in Collection
RIMS Journal Papers
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