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

Article ID

TF84N

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

Rownuk Jahan
Rownuk Jahan
Fahmida Zaman
Fahmida Zaman BGC Trust University Bangladesh
Md. Sarwar Kamal
Md. Sarwar Kamal
DOI

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.

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

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.

Rownuk Jahan
Rownuk Jahan
Fahmida Zaman
Fahmida Zaman BGC Trust University Bangladesh
Md. Sarwar Kamal
Md. Sarwar Kamal

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Rownuk Jahan. 2013. “. Global Journal of Computer Science and Technology – G: Interdisciplinary GJMBR-G Volume 13 (GJMBR Volume 13 Issue G6): .

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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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

Rownuk Jahan
Rownuk Jahan
Fahmida Zaman
Fahmida Zaman BGC Trust University Bangladesh
Md. Sarwar Kamal
Md. Sarwar Kamal

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