Comparison of University Webometrics Ranking Using Multicriteria Decision Analysis : TOPSIS and VIKOR Method
Comparison of University Webometrics Ranking Using Multicriteria Decision Analysis : TOPSIS and VIKOR Method
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使用多标准决策分析比较大学 Webometrics 排名：TOPSIS 和 VIKOR 方法
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通讯作者：
H. Jati
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作者：
H. Jati
世界大学。世界大学的网络计量学是通过规模，可见性，丰富的内容大小和学者。本文利用多准则决策分析中的两种方法--TOPSIS法和VIKOR法，提出了一种新的网络计量学排序方法。TOPSIS和VIKOR方法的基本原理是，所选方案应与理想解具有“最短距离”，与“负理想”解具有“最远距离”。它的结论是承认网络计量学排名系统是由不同的利益相关者不同的看法，因此可以以不同的方式接近。这些模型有效地帮助评估人员通过多准则决策分析，从战略的角度来确定未来的发展和更多的方面。虽然没有一个排名可以被接受为确定的，这些网络计量学排名系统，使用TOPSIS和VIKOR技术将仍然是高等教育系统的一部分，在未来一段时间。比较分析表明，这两种方法使用不同的规范化，他们介绍了不同的排名结果。
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.