Applied Mathematics

Volume 3, Issue 9 (September 2012)

ISSN Print: 2152-7385   ISSN Online: 2152-7393

Google-based Impact Factor: 0.58  Citations  

A New Fuzzy Control Model for Kidney Patients

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DOI: 10.4236/am.2012.39161    3,794 Downloads   6,356 Views  Citations

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.

Share and Cite:

Lagzian, M. , Shirazian, M. , Kamyad, A. , Layeghian, M. and Hekmat, R. (2012) A New Fuzzy Control Model for Kidney Patients. Applied Mathematics, 3, 1097-1101. doi: 10.4236/am.2012.39161.

Cited by

[1] A Review of Kidney Prediction using Fuzzy and Neural Network
International Journal for Scientific Research & Development, 2016

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