Welcome to the InfoSci Platform
Reference Hub1
Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing

Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing

Hariom Sharan Sinha
Copyright: © 2018 |Volume: 5 |Issue: 1 |Pages: 14
ISSN: 2334-4598|EISSN: 2334-4601|EISBN13: 9781522547013|DOI: 10.4018/IJRSDA.2018010108
Cite Article Cite Article

MLA

Sinha, Hariom Sharan. "Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing." IJRSDA vol.5, no.1 2018: pp.117-130. http://doi.org/10.4018/IJRSDA.2018010108

APA

Sinha, H. S. (2018). Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing. International Journal of Rough Sets and Data Analysis (IJRSDA), 5(1), 117-130. http://doi.org/10.4018/IJRSDA.2018010108

Chicago

Sinha, Hariom Sharan. "Enhancement of TOPSIS for Evaluating the Web-Sources to Select as External Source for Web-Warehousing," International Journal of Rough Sets and Data Analysis (IJRSDA) 5, no.1: 117-130. http://doi.org/10.4018/IJRSDA.2018010108

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this paper, the main concern is to evaluate the web-sources, which are to be selected as an external source for web-warehousing. In order to identify the web sources, they are evaluated on the basis of their multiple features. For it, Multi-Criteria Decision Making (MCDM) approach is used. In this paper, among all the MCDM approach, the focus is on “Technique for Order Preference by Similarity to Ideal Solution” (TOPSIS) approach and proposing an enhancement in this method. The traditional TOPSIS approach uses Euclidean Distance to measure the similarity. Here, Jeffrey Divergence has been proposed instead of Euclidean Distance to compute the similarity measure which includes asymmetric and symmetric distances during computation. Experimental analysis of both the variations of TOPSIS approach have been conducted and the result shows the enhancement in the selection of web sources.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.