Abstract
Personnel performance appraisals have been practiced in many organizations and institutions with the purpose for salary adjustments, promotions, training, and other decisions that affect employee status in the company. Human judgments, including preferences are often vague and cannot be estimated in exact numerical values. This paper uses a method under the linguistic framework for heterogeneous performance evaluation, which allocates different weights for assessor members to use linguistic terms in order to express their fuzzy preferences for candidate solutions and for individual judgments. The introduced method has been used in the empirical study, and the results have been analyzed.
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© 2013 Springer International Publishing Switzerland
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Anisseh, M., Shahraki, M.R. (2013). Use of Fuzzy Information for Heterogeneous Performance Evaluation. In: Ali, M., Bosse, T., Hindriks, K., Hoogendoorn, M., Jonker, C., Treur, J. (eds) Contemporary Challenges and Solutions in Applied Artificial Intelligence. Studies in Computational Intelligence, vol 489. Springer, Heidelberg. https://doi.org/10.1007/978-3-319-00651-2_14
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DOI: https://doi.org/10.1007/978-3-319-00651-2_14
Publisher Name: Springer, Heidelberg
Print ISBN: 978-3-319-00650-5
Online ISBN: 978-3-319-00651-2
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