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• W3129982092 abstract "In recent years, healthcare applications have been gaining market in the research area. The objective of the work is based on mellitus diabetes and seeks to sort people in such a way that people who have affected most will be handled with high preference, moderate attack people will be the next level, and mild attack people will be given less priority. The methodology applied here is hesitant PROMOTHEE fuzzy in soft computing which helps to find the outranking and the best selection. The preference function is to be defined in PROMOTHEE to find the outranking decisions for the alternatives using criteria. This method is more powerful because preference can be given to the alternatives using their criteria. The rows are always treated as alternatives and columns are considered as criteria. Dominance and sub-dominance are the factors that play a vital role in the methodology described. The outcome of the research work focuses on giving the high peace of treatment to the most affected people and to safeguard their lives from the sudden mortality. The selection and the ranking have been given the foremost preference and priority in the research work with high precision of PROMOTHEE calculations in the healthcare application." @default.
• W3129982092 created "2021-03-01" @default.
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• W3129982092 date "2021-01-01" @default.
• W3129982092 modified "2023-09-27" @default.
• W3129982092 title "Ranking Diabetic Mellitus Using Improved PROMETHEE Hesitant Fuzzy for Healthcare Systems" @default.
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• W3129982092 doi "https://doi.org/10.1007/978-981-15-9509-7_58" @default.
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