A performance-based approach for assessing the quality of group buying websites

This paper presents a performance-based approach for assessing the quality performance of group buying websites under uncertainty. To effectively model the subjectiveness and imprecision of the decision making process, linguistic variables approximated by triangular fuzzy numbers are used. An effective algorithm based on the concepts of the absolute area and the degree of deviation of a fuzzy number is developed for generating an overall performance index for every alternative across all criteria. As a result, this would help organizations understand the comparative level of their websites’ quality performance. An example is presented for demonstrating the applicability of the approach in dealing with the quality performance evaluation problem.