Record Details

Efficiency Evaluation of State Transport Undertakings of India using DEA-NN approach

International Journal of Management and Information Technology

View Archive Info
 
 
Field Value
 
Title Efficiency Evaluation of State Transport Undertakings of India using DEA-NN approach
 
Creator Saxena, Dr. Punita
Kapoor, Dr. Amita
 
Description The economy of any nation depends on the structure and functioning of its various sectors. Transport sector is one of the vital sectors for the financial system of any developing country. All other sectors are dependent on it either directly or indirectly. Thus improving the efficiency of this sector has become a major concern for the operators and the policy makers. The present paper presents an amalgamation of the two non-parametric techniques, Data Envelopment Analysis (DEA) and Neural Networks (NNs) to compute the efficiency scores of State Transport Undertakings of India. DEA is used to compute the efficiency scores of 27 DMUs. These scores are used to train a neural network model, namely the BPN model. The algorithm is developed and used for predicting the efficiency scores of other units of the data set. The results obtained are comparable and it has been shown that this approach helps in improving the discriminatory power of DEA.
 
Publisher KHALSA PUBLICATIONS
 
Date 2015-01-26
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier http://rajpub.com/index.php/ijmit/article/view/622
10.24297/ijmit.v10i5.622
 
Source INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY; Vol. 10 No. 5 (2015); 2189-2198
2278-5612
 
Language eng
 
Relation http://rajpub.com/index.php/ijmit/article/view/622/pdf_43
 
Rights Copyright (c) 2015 INTERNATIONAL JOURNAL OF MANAGEMENT & INFORMATION TECHNOLOGY
https://creativecommons.org/licenses/by/4.0