|
Factors affecting the tendency to leave the organization using an intelligent model based on multi-objective neural network and genetic algorithms
|
Saham Khaziri Afravi   , Mohsen Sardari Zarchi 1, Seyyed Mohammad mahdi Fatemi Booshehri |
| 1- , sardari@meybod.ac.ir |
|
|
Abstract: (2573 Views) |
| Since the improvement of human resource efficiency can play an effective role in the efficiency of organizations, it has always been one of the main research topics.The tendency to leave the organization is one of the factors affecting the efficiency of human capital, which can be predicted using in-data models, conditions governing the organization and the factors affecting it. For this purpose, intelligent algorithms based on neural network and multi-objective genetic algorithm have been used in this research to predict the tendency to leave an organization. In this regard, a standard dataset was created based on a questionnaire of employees satisfaction and the desire to leave the job in the Karoon Oil and Gas Production Company. Then, using an artificial neural network as a classifier and a multi-objective genetic algorithm, the important factors or features were selected. In the next step, an expert system was proposed to select effective features. In order to test and evaluate the neural network algorithm developed with the standard data set, the necessary training was provided. The results showed that by using the proposed model, not only the willingness of employees to leave the organization can be predicted with more than 88% accuracy, but also, the key factors of leaving the organization can be determined. |
|
| Keywords: Replacement, Data Mining, Selection, Artificial Neural Network, Multi-Objective Genetic Algorithm |
|
|
Full-Text [PDF 852 kb]
(1589 Downloads)
|
Type of Study: Research |
Subject:
Management
Received: 2018/05/21 | Accepted: 2018/10/16 | Published: 2019/03/14
|
|
|
|
|
|
|
| Send email to the article author |
|
|
|
| Add your comments about this article |
|
|
|
