User-Friendly Health-Conscious Recipe Adaptation System Using Fuzzy Linguistic Variables

Andrea Morales-Garzón, Roberto Morcillo-Jiménez, Karel Gutiérrez-Batista, María J. Martín-Bautista

Abstract: While food significantly impacts our daily lives, the health implications of dietary choices are equally crucial. Recipe adaptation systems emerge here as a helpful practice for automatically modifying food to recipes. They offer users diverse options to substitute ingredients while fulfilling specific needs. However, users may lack expertise in nutrition, making health-conscious decisions more challenging. In this study, we propose to use fuzzy linguistic variables to offer easily understandable nutritional information for final users. We show the process of incorporating fuzzy nutritional labels into the final interface of a food system, demonstrating the practical implementation of our approach. This user-friendly interface empowers individuals with understandable dietary information to make informed choices, thus improving the nutritional quality of their food selections.