Browsing by Author "Aarthi, K."

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    A systematic review on personalized hybrid diet recommendations
    (Elsevier, 2024) Sandra, M.; Aarthi, K.; Thilagasree, C.S.; Ahmadian, A.; Narayanamoorthy, S.
    A nutritious diet is necessary for a healthier life. A psychographic decision such as eating poor nutrient-dense food might have serious health effects on individuals. Inadequate eating habits are strongly associated with a higher risk of developing noncommunicable diseases, such as chronic respiratory, cardiovascular, diabetes, and hypertension. Nowadays, people focus more on taking pharmaceuticals than on changing their diets. For those with busy schedules and little awareness of healthy initiatives, an appropriate nutrition prescription is provided to help them avoid such repercussions. The purpose of the chapter is to analyze the multicriteria decision making (MCDM) tool's worldwide application and acceptance in relation to dietary guidelines. A thoughtful examination of 17 manuscripts published between 2015 and 2023 and catalogued by IEEE Xplore, Springer, Google Scholar, and Science Direct has been developed to comprehend the use of this tool and their function in nutritional requirements. This chapter advances to the corpus of knowledge on fuzzy MCDM by presenting a profound vision through a conceptual understanding of fuzzy MCDM in dietary suggestions from a mathematical perspective. According to the study's findings, traditional fuzzy sets were the most favored sets, and fuzzy analytic hierarchy process (AHP) was the most widely used MCDM approach, whether used independently or in conjunction with another method. Additionally, India has the most publications utilizing fuzzy MCDM techniques to address diet-related issues. © 2025 Elsevier Inc. All rights reserved.