Recommendation of diet to anaemia patient on the basis of nutrients using AHP and fuzzy TOPSIS approach

Abstract

Anaemia is a serious health condition caused primarily by deficiency of iron in the body. In India cases of anaemia are on an alarmingly high rate affecting pregnant women, men and children alike. Malnutrition has been identified as the primary cause of iron deficiency. The treatment of anaemia can be accomplished by adhering to a stringent diet plan containing all the critical nutrients in the right amount. This makes it a complex process to pick the most relevant diet plan among all the available ones. Our objective here pertains to determining the best diet plan for anaemia patient and to procure this we are employing Analytic Hierarchy Process (AHP) in the proposed paper. Diet recommendation for anaemia patient using AHP is relatively new, making this work as unique. The results obtained show the best diet among the available ones that must be recommended to an anaemia patient. This diet contains all the meals that must be consumed at breakfast, lunch and dinner by an anaemia patient. The proposed work is further validated using Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). The results obtained after validation are exactly the same as determined using AHP.