Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology

Rownuk Jahan; Fahmida Zaman; Md. Sarwar Kamal

Authors

Rownuk Jahan
Fahmida Zaman
Md. Sarwar Kamal

Keywords:

ready made garment (RMG), k-nearest neighbor (K-NN), markov chain (MC), baysian network (BN), women empowerment

Abstract

Bangladesh is a promising developing country in the world. Key exportable side of Bangladesh is Ready Made Garment (RMG) sector. It has great impact on the development of the Bangladesh. It is a matter of great interest that RMG sector is healthy and handsome due to the contribution of Bangladeshi women from the beginning of the garment industry. Here we have concentrate to predict the women contribution at any time in future. We have collected the data set from Bangladesh Academic of Science and National Academic of Science India. We used K-Nearest Neighbor (K-NN) Algorithm for selecting the desired data set. Besides this KNN, Two clustering methods as K-Medoids and K-means algorithm are used. The Baysian Network (BN) helps to accomplish the proper predictions along with Markov Chain (MC). Finally we have prepared two lists of next promising country of the RMG field and the contribution of women in future development of Bangladesh.

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How to Cite

Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology. (2013). Global Journal of Management and Business Research, 13(23), 1-7. https://journalofbusiness.org/index.php/GJMBR/article/view/

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