Rank-order weighting of web attributes for website evaluation

The rapid growth of web applications increases the need to evaluate web applications objectively. In the past few years some valuable works like WebQEM tried to objectively evaluate the web applications. However, still weighting web attributes which is one step of evaluation of web applications is...

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Main Authors: Saeid, Mehri, Abd Ghani, Abdul Azim, Selamat, Mohd Hasan
Format: Article
Language:English
Published: Zarqa University 2011
Online Access:http://psasir.upm.edu.my/id/eprint/16424/1/Rank-order%20weighting%20of%20web%20attributes%20for%20website%20evaluation.pdf
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author Saeid, Mehri
Abd Ghani, Abdul Azim
Selamat, Mohd Hasan
author_facet Saeid, Mehri
Abd Ghani, Abdul Azim
Selamat, Mohd Hasan
author_sort Saeid, Mehri
collection UPM
description The rapid growth of web applications increases the need to evaluate web applications objectively. In the past few years some valuable works like WebQEM tried to objectively evaluate the web applications. However, still weighting web attributes which is one step of evaluation of web applications is completely subjective, depending mostly on experts’judgments. In this paper a two,step weighting approach is proposed. The approach divided the weighting step into two steps which are ranking and then weighting by using rank,order weighting formula. A simulation was conducted to compare using different rank,order weighting methods (RR, RS, and ROC) with the TRUE weights (simulated experts’ judgments without prior ranking). Two kinds of comparison were done; comparison on weights and comparison on quality scores. From the results, using Rank,Sum is suggested as a good surrogate for experts’ weights for the attributes when evaluating some web applications.
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spelling upm.eprints-164242018-07-16T06:58:22Z http://psasir.upm.edu.my/id/eprint/16424/ Rank-order weighting of web attributes for website evaluation Saeid, Mehri Abd Ghani, Abdul Azim Selamat, Mohd Hasan The rapid growth of web applications increases the need to evaluate web applications objectively. In the past few years some valuable works like WebQEM tried to objectively evaluate the web applications. However, still weighting web attributes which is one step of evaluation of web applications is completely subjective, depending mostly on experts’judgments. In this paper a two,step weighting approach is proposed. The approach divided the weighting step into two steps which are ranking and then weighting by using rank,order weighting formula. A simulation was conducted to compare using different rank,order weighting methods (RR, RS, and ROC) with the TRUE weights (simulated experts’ judgments without prior ranking). Two kinds of comparison were done; comparison on weights and comparison on quality scores. From the results, using Rank,Sum is suggested as a good surrogate for experts’ weights for the attributes when evaluating some web applications. Zarqa University 2011-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/16424/1/Rank-order%20weighting%20of%20web%20attributes%20for%20website%20evaluation.pdf Saeid, Mehri and Abd Ghani, Abdul Azim and Selamat, Mohd Hasan (2011) Rank-order weighting of web attributes for website evaluation. The International Arab Journal of Information Technology, 8 (1). pp. 30-38. ISSN 1683-3198 http://ccis2k.org/iajit/?option=com_content&task=blogcategory&id=72&Itemid=317
spellingShingle Saeid, Mehri
Abd Ghani, Abdul Azim
Selamat, Mohd Hasan
Rank-order weighting of web attributes for website evaluation
title Rank-order weighting of web attributes for website evaluation
title_full Rank-order weighting of web attributes for website evaluation
title_fullStr Rank-order weighting of web attributes for website evaluation
title_full_unstemmed Rank-order weighting of web attributes for website evaluation
title_short Rank-order weighting of web attributes for website evaluation
title_sort rank order weighting of web attributes for website evaluation
url http://psasir.upm.edu.my/id/eprint/16424/1/Rank-order%20weighting%20of%20web%20attributes%20for%20website%20evaluation.pdf
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