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 AM  Vol.3 No.9 , September 2012
A New Fuzzy Control Model for Kidney Patients
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.
References

[1]   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.

 
 
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