Evaluation of online food delivery applications among UiTM Perlis students using fuzzy ELECTRE

Recent technological advancements have led to the widespread accessibility of online food delivery platforms, driven by the growing demand for fast and convenient meals. However, consumers often face challenges in choosing the best online food delivery application due to the numerous criteria that need to be considered. This study aims to identify the most important criterion for selecting online food delivery applications and rank the most preferable online food delivery applications. The focus is on comparing Foodpanda and Grabfood as alternative to be ranked in this study based on specific criteria such as food prices, delivery costs, available promotions, and user-friendliness of the applications. The finding shows that the most importance criteria is price of the food followed by delivery cost and the least importance in choosing online food delivery applications is user-friendliness of the applications. The study's results indicate that Grabfood is the most preferred online food delivery application, thereby both objectives were achieved. The findings obtained showed that the fuzzy ELECTRE successfully overcomes confusion in choosing the best online food delivery. The study's findings benefit to many stakeholders, and this enables them to focus their efforts on the most popular online food delivery applications.