Abstract
In the current era, website developers recognize usability evaluation as a significant factor in the quality and success of e-commerce websites. Fuzzy Analytical Hierarchy Process (FAHP) is one method to measure the usability of the website. Several researchers have applied Logarithmic Fuzzy Preference Programming (LFPP) approach to deriving crisp weight from fuzzy pairwise comparison matrix of FAHP approach. However, there is a lack of LFPP method in determining the consistency index of the decision-maker judgment. In some cases, LFPP method will produce a consistency value of 0 from consistent fuzzy comparison matrices. This value indicates there is a contradiction with what the previous researchers have said, that a constant matrix value should be more than 0. This research proposes the extended Consistent Fuzzy Preference Relation (ECFPR) to assist the regular judgment for specifying the weights in measuring e-commerce website usability. The CFPR method used to form a new pairwise comparison matrix. ECFPR was calculating the lower and upper values at the fuzzy triangular number from the only n-1 comparison, where n is the number of criteria. The numerical experiment showed that the consistency index obtained by extended CFPR method was more significantly better than LFPP method. It was revealed that the optimal value always more than 0. The consistency index of ECFPR method has a higher mean value than LFPP, so that the use of the ECFPR method can improve the amount of consistency comparison matrices. The ECFPR method was also successfully implemented with the experimental case on evaluating e-commerce website usability.
Highlights
Current usability measurement methods do not yet have the right uniformity and agreement on standards in software [1], [2]
Flowchart of an extended Consistent Fuzzy Preference Relation (ECFPR) to evaluate e-commerce usability that consists of eight steps (Fig. 1)
E-Commerce website usability can be evaluated from some criteria such as load time, response time, and page size
Summary
Current usability measurement methods do not yet have the right uniformity and agreement on standards in software [1], [2]. Researchers often regard the weighting of standards as a multi-criteria decision-making problem, given its complex structure. They usually break down the complex issues into its elements in a hierarchy. The LFPP method has its drawbacks; in some cases, a pairwise comparison matrix that consistently produces a value of 0 [14], [15]. The extended CFPR is reviewing the upper and lower bound and creating a comparison matrix in pairs with fuzzy triangular numbers. The extended CFPR based on user judgment is expected to be valid and consistent so that it can give good weight from each usability criteria.
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