Diabetes disease is the curse to human life and it is one of the worst nightmares of everyone's l... more Diabetes disease is the curse to human life and it is one of the worst nightmares of everyone's life. The patient needs to keep count on the sugar level each time when he/she consumes food, sugar free ice-creams are not spared from this and are favorite dessert of every one. Very less systems exist which can guide diabetic and non-diabetic persons about the contents of sugar free ice-creams. Many methodologies exist to recommend the ice-creams which are based on some traditional techniques like collaborative filtering and content recommendations. But most of the time their results are not up to the mark and they may wrongly recommend the ice-cream which may adversely disturb blood sugar level of the person. So, proposed methods put forward an idea of recommending sugar free ice-creams based on its ingredients like carbohydrates, fats, proteins and dietary fibers, which play a vital role in affecting blood glucose levels of diabetics and non-diabetics. The proposed system uses advanced techniques like Analytic Hierarchy Process (AHP) and Monte Carlo AHP (MCAHP) which can be powered with Goal programming and classification process. It is observed that rankings obtained from these two techniques are same for ice creams under consideration. This paper mainly focuses on the techniques of AHP and MCAHP for the ranking of considered sugar free ice-creams.
Diabetes disease is the curse to human life and it is one of the worst nightmares of everyone's l... more Diabetes disease is the curse to human life and it is one of the worst nightmares of everyone's life. The patient needs to keep count on the sugar level each time when he/she consumes food, sugar free ice-creams are not spared from this and are favorite dessert of every one. Very less systems exist which can guide diabetic and non-diabetic persons about the contents of sugar free ice-creams. Many methodologies exist to recommend the ice-creams which are based on some traditional techniques like collaborative filtering and content recommendations. But most of the time their results are not up to the mark and they may wrongly recommend the ice-cream which may adversely disturb blood sugar level of the person. So, proposed methods put forward an idea of recommending sugar free ice-creams based on its ingredients like carbohydrates, fats, proteins and dietary fibers, which play a vital role in affecting blood glucose levels of diabetics and non-diabetics. The proposed system uses advanced techniques like Analytic Hierarchy Process (AHP) and Monte Carlo AHP (MCAHP) which can be powered with Goal programming and classification process. It is observed that rankings obtained from these two techniques are same for ice creams under consideration. This paper mainly focuses on the techniques of AHP and MCAHP for the ranking of considered sugar free ice-creams.
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Papers by Akash Laddha