5b34b701936dd1eaf7-248f 20241128035842083 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Recent Technology and Engineering (IJRTE) IJRTE 22773878 10.35940/ijrte.2277-3878 https://www.ijrte.org/ 11 30 2024 13 4 Department of Electrical Engineering, Dayalbagh Educational Institute, Dayalbagh, Agra (Uttar Pradesh), India. Makund Arora https://orcid.org/0009-0007-9522-8225 This paper addresses the challenge of accurately measuring the E-Service Quality (ESQ) of app-based travel portals by using a structured framework of linguistic and mathematical variables. The approach allows for the evaluation and improvement of key performance indicators through fuzzy aggregation, providing a quantitative understanding of service quality in dynamic environments. The proposed method evaluates the system's state by analysing the parametric values of its sub components, which define the system at any given time. We identify three primary factors crucial for assessing ESQ: the state change required relative to the current system state and the relative significance of tasks. The paper elaborates on three critical variables: the significance of a factor (Si), its observed level (Li), and the contribution of the factor (Delta i) towards ESQ. These variables are assessed using fuzzy aggregation, converting linguistic inputs into crisp numeric outputs, thereby quantifying the impact of each factor. The methodology provides a structured and flexible approach to gauge and improve the performance of travel portals by focusing on key performance indicators and their respective weights. 11 30 2024 11 30 2024 7 18 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijrte.org true International Journal of Recent Technology and Engineering (IJRTE) Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) Based on my understanding, this article has no conflicts of interest. This article has not been sponsored or funded by any organization or agency. The independence of this research is a crucial factor in affirming its impartiality, as it has been conducted without any external sway. The data provided in this article is exempt from the requirement for ethical approval or participant consent. The adequate resources of this article are publicly accessible. The authorship of this article is contributed solely. 10.35940/ijrte.D8154.13041124 https://www.ijrte.org/portfolio-item/D815413041124/