
Effective customer satisfaction investigation is a very important precondition for e-commerce. It is the problem which needs to be solved for e-commerce customer satisfaction through use of advanced methods to evaluate the customer satisfaction. This paper establishes a customer satisfaction evaluation method based on combination of linguistic variables, fuzzy triangular numbers, and fuzzy TOPSIS; also, do a case study. The results of demonstrated case study shows that the designed evaluation method creates suitable results and the evaluation could be done as well as possible.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 19 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
