ABSTRACT The final diagnosis of some diseases depends on many factors and information. Considering all these factors and reviewing all of them is a difficult process, thus providing a mathematical model that can simultaneously consider all these factors is a great help for physicians to diagnose and treat these diseases. In this paper, we propose a new fuzzy control model for kidney transplantation patients. For the inference and conclusion of this model, we use Mamdani approach. Also we employ a new method to smooth the well-known non-smooth piecewise membership functions, i.e. trapezoidal and half trapezoidal membership functions.
Cite this paper
M. Lagzian, M. Shirazian, A. Kamyad, M. Layeghian and R. Hekmat, "A New Fuzzy Control Model for Kidney Patients," Applied Mathematics, Vol. 3 No. 9, 2012, pp. 1097-1101. doi: 10.4236/am.2012.39161.
 A. V. Kamyad, N. HassanZadeh and J. Chaji, “An Effi-cient Approach for Solving a Wide Class of Fuzzy Linear Programming Problems,” International Conference on Computational Intelligence and Software Engineering, Wuhan, 11-13 December 2009.