Share This Article:

A New Fuzzy Control Model for Kidney Patients

Full-Text HTML Download Download as PDF (Size:300KB) PP. 1097-1101
DOI: 10.4236/am.2012.39161    3,289 Downloads   5,508 Views Citations


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.

Copyright © 2019 by authors and Scientific Research Publishing Inc.

Creative Commons License

This work and the related PDF file are licensed under a Creative Commons Attribution 4.0 International License.