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.

has been cited by the following article:

• TITLE: A New Fuzzy Control Model for Kidney Patients

  AUTHORS: Mina Lagzian, Mohammad Shirazian, Ali Vahidian Kamyad, Malihe Layeghian, Reza Hekmat

  KEYWORDS: Mathematical Modeling; Fuzzy Control Model; Kidney Transplantation; Membership Functions

  JOURNAL NAME: Applied Mathematics, Vol.3 No.9, September 27, 2012

  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.