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Hybrid fuzzy-conventional method to improve 360-degree performance appraisal
Author(s)
Sooraksa, Nanta
Date Issued
August 16, 2016
Type
Conference Paper
Abstract
A diagnostic tool used in human resource management for evaluation and prediction of employee performance is 360-degree performance appraisal. Recently, the effectiveness of the tool is suspicious about validity and reliability in case of unfair weighting and subjective data. This paper proposes a method to enhance the effectiveness of the tool by using a hybrid approach of fuzzy logic and conventional development. Contribution of the paper is highlight on assigning eigenvalues as natural weights obtained from the questionnaire development to be membership functions for the fuzzy model. The proposed method provided in this work helps improve survey and software for human resource management (HRM).
Citation
Proceedings 2016 IEEE International Symposium on Computer Consumer and Control Is3c 2016, 41-44, 2016