Integrating Fuzzy AHP and TOPSIS for Optimal Air Fryer Selection: A Consumer-Centric Approach

Abstract

This study presents a novel methodology combining Fuzzy Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) to aid consumers in selecting the most suitable air fryer. The decision-making process in choosing kitchen appliances like air fryers is often complex involving multiple criteria that can be challenging to assess and prioritize. Our approach utilizes Fuzzy AHP to determine the weights of various criteria based on consumer preferences ensuring a more accurate reflection of their importance. These criteria encompass factors such as price capacity energy efficiency user-friendly features and brand reputation which are critical in influencing consumer decisions. The integration of Fuzzy AHP with TOPSIS addresses the subjective and uncertain nature of consumer choices providing a structured and quantifiable method to evaluate and rank air fryers. This methodology not only captures the qualitative aspects of consumer preferences but also offers a comparative analysis of the products in the market. The result is a comprehensive decision-making tool that guides consumers through a balanced evaluation of the options leading to an informed and satisfactory purchase. By combining these two advanced decision-making techniques the study aims to significantly contribute to consumer behavior research and decision support systems offering a pragmatic solution for navigating complex market offerings and identifying an air fryer that aligns with specific needs and preferences. © 2024 Elsevier B.V. All rights reserved.