A New Fuzzy Control Model for Kidney Patients

DOI: 10.4236/am.2012.39161   PDF   HTML     3,389 Downloads   5,656 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:

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.

Conflicts of Interest

The authors declare no conflicts of interest.

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.

  
comments powered by Disqus

Copyright © 2020 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.