Rank University Websites Using Fuzzy AHP and Fuzzy TOPSIS Approach on Usability

Nagpal, Renuka; Mehrotra, Deepti; Bhatia, Pradeep Kumar; Sharma, Arun

doi:10.5815/ijieeb.2015.01.04

Cited by 37 publications

(26 citation statements)

References 16 publications

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“…Recent works by Hasan [71], Kaur et al [72], and Nagpal et al [73] examine online presence and content for academic institutions. In [71] the author successfully lists various criteria that are used by university ranking systems.…”

Section: Discussionmentioning

confidence: 99%

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

et al. 2019

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The academic excellence of universities around the globe has always been a matter of extended study and so has the quality of an institution’s presence in the World Wide Web. The purpose of this research is to study the extent to which a university’s academic excellence is related to the quality of its web presence. In order to achieve this, a method was devised that quantified the website quality and search engine optimization (SEO) performance of the university websites of the top 100 universities in the Academic Ranking of World Universities (ARWU) Shanghai list. A variety of tools was employed to measure and test each website and produced a Web quality ranking, an SEO performance ranking, as well as a combined overall web ranking for each one. Comparing these rankings with the ARWU shows that academic excellence is moderately correlated with website quality, but SEO performance is not. Moreover, the overall web ranking also shows a moderate correlation with ARWU which seems to be positively influenced by website quality and negatively by SEO performance. Conclusively, the results of the research indicate that universities place particular emphasis on issues concerning website quality, while the utilization of SEO does not appear to be of equal importance, indicating possible room for improvement in this area.

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Section: Discussionmentioning

confidence: 99%

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

et al. 2019

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“…TOPSIS is a method to compare different alternatives by keeping a variety of criteria on the appropriate scale (Alptekin, Hall and Sevim, 2015). Because of that aspect, it is a useful tool in the area of web site evaluation (Nagpal, Mehrotra, Bhatia and Sharma, 2015). The steps of the method are presented in this section.…”

Section: Steps Of Topsis Methodsmentioning

confidence: 99%

Using Fuzzy Topsis and Regression Based Weights to Rank E-Commerce Websites

Ozkan

Yavuz

2019

Eskişehir Osmangazi Üniversitesi Mühendislik Ve Mimarlık Fakültesi Dergisi

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Website usability is a widespread study area which incorporates researches from various disciplines. Several methods are available to evaluate usability of a website.Checklists, heuristic evaluations, expert evaluations, surveys and user tests are presented as the most popular methods for the evaluation of websites. Especially ecommerce websites' usability has a critical importance due to the rising in competence and the rising in the number of e-commerce websites. The diversity of e-commerce websites evokes typical example of multi criteria decision making (MCDM) issue in daily life of humanity. Since different user groups have different expectations from the websites, the evaluation method should be structured to include appropriate measurement criteria. The main aim and the target users of the website should be considered attentively while defining the evaluation method. In this study, the most visited (Based on Alexa.com list in January, 2018) e -commerce websites in Turkey are compared in terms of usability. Criteria are decided based on the study which was published by Lee and Kozar (2015). Two different weighting approaches are integrated to TOPSIS method. One of these approaches is fuzzy expert evaluation and the other one is weighted regression est imate. We aim to discover different impressions between e-commerce website designers and users on the same criteria to provide a comprehensive viewpoint.

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“…The Fuzzy AHP takes over all characteristics of AHP such as ease of computation, having less computational cost, lack of mathematical calculations, but it includes the same problems i.e. large number of comparisons of software requirements initially made by judges [28], [29], [30]. To overcome of these drawbacks/limitations of the existing requirement prioritization techniques we proposed an effective "ANN fuzzy AHP model".…”

Section: G Fuzzy Ahp:-mentioning

confidence: 99%

A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization

Singh¹,

Nsit²,

Kumar³

et al. 2018

IJITCS

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Abstract-Requirements prioritization is an essential component of software release planning and requirement engineering. In requirement engineering the requirements are arranged as per their priority using prioritization techniques to develop high-quality software's. It also helps to the decision makers for making good decisions about, which set of requirements should be executed first. In any software development industry a 'software project' may have a larger number of requirements and then it is very difficult to prioritize such type of larger number of requirements as per their priority when stakeholder's priorities are in the form of linguistic variables. This paper presents a comparative analysis of existing seven techniques based on various aspects like: scale of prioritization, scalability, time complexity, easy to use, accuracy, and decision making, etc. It was found from literature survey none of the techniques can be considered as the best one. These techniques undergo from a number of drawbacks like: time complexity, lack of scalability, Negative degree of membership function, inconsistency ratio, rank updates during requirement development, and conflicts among stakeholders. This paper proposed a model called 'ANN Fuzzy AHP model' for requirements prioritization that will overcome these limitations and drawbacks. In the investigation of this proposed model, a case study is implemented. Ozcan et al [31] using a FAHP (Fuzzy AHP) with ANN based technique to choose the best supplier based on the multiple criteria. The examination on ANN with FAHP is performed on MATLAB software and outcome evaluated by fuzzy pairwise comparison matrix with three supplier selection criteria states that the requirements prioritization outcome is better from existing techniques.with higher priority.

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Rank University Websites Using Fuzzy AHP and Fuzzy TOPSIS Approach on Usability

Cited by 37 publications

References 16 publications

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

Academic Excellence, Website Quality, SEO Performance: Is there a Correlation?

Using Fuzzy Topsis and Regression Based Weights to Rank E-Commerce Websites

A Comparative Analysis and Proposing ‘ANN Fuzzy AHP Model’ for Requirements Prioritization

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