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The Fuzzy Evaluation of E-Commerce Customer Satisfaction Utilizing Fuzzy TOPSIS

Authors: Mehdi Fasanghari; Navid Gholamy; Seyed Kamal Chaharsooghi; Shohre Qadami; Mohammad Soltani Delgosha;

The Fuzzy Evaluation of E-Commerce Customer Satisfaction Utilizing Fuzzy TOPSIS

Abstract

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.

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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
19
Top 10%
Top 10%
Top 10%
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