Selection of the Best Thermal Massage Treatment for Diabetes by using Fuzzy Analytical Hierarchy Process

Diabetes is a condition in which the human blood glucose (sugar) level is abnormally high dueto the lack of insulin produced by the pancreas. As diabetes has been claimed to be a diseasethat is incurable, researchers have come out with numerous alternatives in making it curableand one of them is thermal massage treatment. This treatment refers to the application ofchiropractic where it focuses on realigning the spine where diabetes is claimed to be relatedto the misalignment of thoracic 7 (T7). The objective of this study is to identify and select thebest and most effective thermal massage treatment session(s) required for both T1D and T2Dpatients of different high glucose level in the blood to be reduced to the normal glucose levelby using thermal massager. This study is conducted for the diabetic patients who receivetreatments from Ceragem Healthcare Centre on how to optimise their thermal massagetreatments to normalise their glucose level. Fuzzy Analytical Hierarchy Process (AHP) isutilised in this type of selection problem mainly due to the reliable results produced for theimprecise and uncertain preferences of the users in which able to be expressed as a fuzzy set(triangular fuzzy number). The findings indicated that the most significant criteria for effectivethermal massage is determined by the “number of treatment session (per day)” where the bestthermal massage treatment is derived from the normalised fuzzy weight of both criteria andsub-criteria.