A model to forecast the matched-degree between staffs and jobs

Author

Yuchen Ouyang ; Hong Mo ; Fan Peng ; Dan Tan

Author_Institution

Coll. of Electr. & Inf. Eng., Changsha Univ. of Sci. & Technol., Changsha, China

fYear

2014

fDate

9-10 Oct. 2014

Firstpage

112

Lastpage

117

Abstract

In the paper, a scheme is proposed to predict whether the new employees could match their jobs or not, and discrete interval type-2 fuzzy set on time-varying universe is used for evaluating the experts´ view of the employees´ performance. The evaluation results are sent into a BP neural network to get the predicted value. Finally, the Markov model is adopted to revise the result and achieve a final forecasting result. By using Markov model, the result is more accurate than BP neural network.

Keywords

Markov processes; backpropagation; fuzzy set theory; neural nets; personnel; BP neural network; Markov model; discrete interval type-2 fuzzy set; employee performance; expert view evaluation; jobs; matched-degree forecasting; staffs; time-varying universe; Companies; Educational institutions; Forecasting; Markov processes; Neural networks; Predictive models; Vectors; BP Neural Network; Interval Type-2 Fuzzy Set; Markov Model; Time-varying Universe;

fLanguage

English

Publisher

ieee

Conference_Titel

Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4799-4753-9

Type

conf

DOI

10.1109/ICCSS.2014.6961826

Filename

6961826