Fourier Motzkin Elimination Algorithm of Hexagonal Fuzzy Number for Solving Fuzzy Linear Programming Problem

2017 ◽  
Vol 43 (1) ◽  
pp. 28-32
Author(s):  
K.Arumu gam ◽  
◽  
R.Abdul Saleem ◽  
K.Suga ntha
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Fuzzy Number ◽  
Linear Programming Problem ◽  
Fuzzy Linear Programming ◽  
Elimination Algorithm

scholarly journals طرائق جديدة لحل مشاكل البرمجة الخطية الضبابية المتماثلة

2016 ◽  
Vol 22 (91) ◽  
pp. 1
Author(s):  
سرمد علوان صالح
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Fuzzy Number ◽  
Linear Programming Problem ◽  
Ranking Function ◽  
Fuzzy Linear Programming ◽  
Minimal Cost ◽  
Trapezoidal Fuzzy Number

Several authors have used ranking function for solving linear programming problem. In This paper is proposed two ranking function for solving fuzzy linear programming and compare these two approach with trapezoidal fuzzy number .The proposed approach is very easy to understand and it can applicable, also the data were chosen from general company distribution of dairy (Canon company) was proposed test approach and compare; This paper prove that the second proposed approach is better to give the results and satisfy the minimal cost using Q.M. Software  

scholarly journals The Knowledge of Expert Opinion in Intuitionistic Fuzzy Linear Programming Problem

2015 ◽  
Vol 2015 ◽  
pp. 1-8
Author(s):  
A. Nagoorgani ◽  
J. Kavikumar ◽  
K. Ponnalagu
Keyword(s):  
Linear Programming ◽  
Programming Problem ◽  
Linear Programming Problem ◽  
Real Life ◽  
Fuzzy Linear Programming ◽  
Limited Resources ◽  
Fuzzy Data ◽  
Intuitionistic Fuzzy ◽  
Competing Demands ◽  
Intuitionistic Fuzzy Data

In real life, information available for certain situations is vague and such uncertainty is unavoidable. One possible solution is to consider the knowledge of experts on the parameters involved as intuitionistic fuzzy data. We examine a linear programming problem in which all the coefficients are intuitionistic in nature. An approach is presented to solve an intuitionistic fuzzy linear programming problem. In this proposed approach, a procedure for allocating limited resources effectively among competing demands is developed. An example is given to highlight the illustrated study.

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