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

Fahmida Zaman; Md. Kamal; Rownuk Jahan

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

Rownuk Jahan §

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Fahmida Zaman ‡

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Md. Sarwar Kamal ¶

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§ University of Chittagong Bangladesh

‡ Lecturer, Faculty of Business Administration, BGC Tr...

¶ Lecturer, Computer Science and Engineering, BGC Trus...

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

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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.

References

18 Cites in Article

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Rownuk Jahan, Fahmida Zaman, Md. Sarwar Kamal. 2013. "Future Impact Prediction of Women Empowerment in Ready Made Garment Industry under Computional Methodology". Global Journal of Management and Business Research - G: Interdisciplinary GJMBR-G Volume 13 (GJMBR Volume 13 Issue 23 (G6)).

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GJMBR Volume 13 Issue 23 (G6)

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Journal Specifications

Crossref Journal DOI 10.17406/GJMBR

Print ISSN 0975-5853

e-ISSN 2249-4588

Keywords

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

Classification

GJMBR-G Classification JEL Code: L67

Submission ReceivedDecember 16, 2012
Peer Review Double Blind
Handling Editor
Accepted January 4, 2013
Published July 8, 2013

Version of record

v1.2

Issue date

July 8, 2013

Language

English

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Article Matrices

Total Score: 103

Country: Bangladesh

Subject: Global Journal of Management and Business Research - G: Interdisciplinary

Authors: Rownuk Jahan, Fahmida Zaman, Md. Sarwar Kamal (PhD/Dr. count: 0)

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