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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 13 Issue 3, 2022.
Abstract: e-Governance is the system in which all the public services are made available in the online platform with the help of secured cyber architecture. Government along with the people have praised the ability of Information and communications technology (ICT) around the world in stimulating the various vital sectors of the economy. The advanced technologies have provided speed, inexpensive and convenient method of interaction and communication. In various developing and developed countries, these newly adopted technologies have shown direct positive impact on the country’s productivity, efficiency and thus leads to rapid development. This work represents a comparative study of various Multi-Criteria Decision Making (MCDM) techniques like Technology, Multi-criteria Decision making, Ranking, Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), Weighted Sum Model (WSM) and Weighted Product Model (WPM) to find the ranking of various attributes responsible for better decision making for implementing successful e-Governance in developing country, India.
Bhaswati Sahoo, Rabindra Narayana Behera and Prasant Kumar Pattnaik, “A Comparative Analysis of Multi-Criteria Decision Making Techniques for Ranking of Attributes for e-Governance in India” International Journal of Advanced Computer Science and Applications(IJACSA), 13(3), 2022. http://dx.doi.org/10.14569/IJACSA.2022.0130311
@article{Sahoo2022,
title = {A Comparative Analysis of Multi-Criteria Decision Making Techniques for Ranking of Attributes for e-Governance in India},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2022.0130311},
url = {http://dx.doi.org/10.14569/IJACSA.2022.0130311},
year = {2022},
publisher = {The Science and Information Organization},
volume = {13},
number = {3},
author = {Bhaswati Sahoo and Rabindra Narayana Behera and Prasant Kumar Pattnaik}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.