world universities. The webometrics for world universities were calculated by using size, visibility, rich content size, and scholar. In this paper by using two of multicriteria decision analysis which are TOPSIS and VIKOR technique, we propose a new method for webometrics ranking. The basic principle of the TOPSIS and VIKOR method is that the chosen alternative should have the ''shortest distance'' from the ideal solution and the ''farthest distance'' from the ''negative-ideal'' solution. It concludes by acknowledging that webometrics ranking systems are viewed differently by different stakeholders and hence can be approached in different ways. These models efficiently help evaluators to determine with a strategic view for future developments and more aspect by using multicriteria decision analysis. While no one ranking can be accepted as definitive, these webometrics ranking systems by using TOPSIS and VIKOR technique will remain a part of the higher education system for some time to come. A comparative analysis shows that these two methods use different normalizations and that they introduce different results for ranking.
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