Blood glucose control for type 1 diabetic patients using interval valued type 2 fuzzy set

reza gholizadeh¹ ali vahidian kamyad²

1) M.Sc. student in electrical engineering, islamic azad university of gonabad, iran.
2) full Professor, applied mathematics, ferdowsi university of mashhad, iran.

Publication : International Conference on Science and Engineering(icesconf.com)
Abstract :
Diabetes is a metabolic disorder that leads to ineffective of glucose in body energy source and bodys cells, resulting in considerable damage to various organs of human body. The main factor influencing type 1 diabetes is the low production of insulin and absence of production in insulin by the pancreas. In this paper, we try to be design a suitable controller for blood glucose level in order to changes parameters and disturbance created using scientific and medical suit control. For this purpose, a non-linear mathematical equation called augmented minimal model has been used. In order to control the process, fluctuations and uncertainty, the system of interval type2 fuzzy system and genetic algorithm and mamdani approach were used for modeling and reducing the conclusion of type 2 fuzzy system by the use of karnik mendel algorithm.
Keywords : type1 diabetes blood glucose augmented minimal model interval type 2 fuzzy set