Vol.12, No.4, November 2023.                                                                                                                                                                               ISSN: 2217-8309

                                                                                                                                                                                                                        eISSN: 2217-8333


TEM Journal



Association for Information Communication Technology Education and Science

Fuzzy System for Perception Level Estimation in E-Commerce Web Sites


Gabriel Elías Chanchí G., Manuel Alejandro Ospina A., Manuel Saba


© 2023 Gabriel Elías Chanchí G., published by UIKTEN. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License. (CC BY-NC-ND 4.0)


Citation Information: TEM Journal. Volume 12, Issue 4, Pages 1939-1947, ISSN 2217-8309, DOI: 10.18421/TEM124-03, November 2023.


Received: 30 May 2023.

Revised:   05 September 2023.
Accepted: 11 September 2023.
Published: 27 November 2023.




Customer reviews on e-commerce platforms significantly impact the acceptance of products offered by companies. In this paper we propose a software system based on fuzzy logic for estimating the level of perception of users of e-commerce portals regarding a product or service. The constructed system receives as its first input the level of perception of opinion, determined through sentiment analysis, while the second input is the star rating provided by each user for the product or service. For the development of the proposed fuzzy system, the RAD (Rapid Application Development) methodology was used. The fuzzy system presented in this paper aims to support decision making in the marketing divisions of companies with respect to the products and services offered.


Keywords –E-commerce, fuzzy logic, fuzzy system, perception, polarity sentiment analysis.



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