Title :
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
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;
Conference_Titel :
Informative and Cybernetics for Computational Social Systems (ICCSS), 2014 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4799-4753-9
DOI :
10.1109/ICCSS.2014.6961826
