Revolutionizing Personalized Nutrition using F-AHP, Fuzzy TOPSIS and Multicriteria Selection Analysis

An individually tailored dietary plan is a personalized nutritional strategy developed to cater to the specific needs, goals, and health circumstances of each individual. In conducting this research, we have employed two sophisticated techniques of fuzzy logic TOPSIS and AHP to evaluate the criteria for recommending dietary plans. These include age, body mass index (BMI), dietary preference (vegan/vegetarian/non-vegetarian), lifestyle, and blood sugar level, constituting five important factors for analysis. This method was chosen due to its uncomplicated nature and ability to handle linguistic variables through triangular membership functions. The decision-making participants involved in this process include dieticians and medical professionals. By utilizing these approaches, we are able to get the weights of the criterion also ranking various alternatives, such as a well-balanced diet, low-carbohydrate diet, and a diabetes-specific diet