Title : ( A new fuzzy neural network model for solving fuzzy linear programming problems and its applications )
Authors: Sohrab Effati , Morteza Pakdaman , Mahdi Ranjbar ,
دانلود فایل برای اعضای دانشگاهAccess to full-text not allowed by authors
Abstract
This paper is concentrated on two types of fuzzy linear programming problems. First type with fuzzy coefficients in the objective function and the second type with fuzzy right-hand side values and fuzzy variables. Considering fuzzy derivative and fuzzy differential equations, these kinds of problems are solved using a fuzzy neural network model. To show the applicability of the method, it is applied to solve the fuzzy shortest path problem and the fuzzy maximum flow problem. Numerical results illustrate the method accuracy and it’s simple implement
Keywords
, Fuzzy linear programming , Fuzzy derivative, Neural networks, Fuzzy shortest path problem, Fuzzy maximum flow problem
@article{paperid:1024967,
author = {Effati, Sohrab and Morteza Pakdaman and Mahdi Ranjbar},
title = {A new fuzzy neural network model for solving fuzzy linear programming problems and its applications},
journal = {Neural Computing and Applications},
year = {2011},
volume = {20},
number = {8},
month = {November},
issn = {0941-0643},
pages = {1285--1294},
numpages = {9},
keywords = {Fuzzy linear programming ;
Fuzzy derivative; Neural networks;
Fuzzy shortest path problem;
Fuzzy maximum flow problem},
}
%0 Journal Article
%T A new fuzzy neural network model for solving fuzzy linear programming problems and its applications
%A Effati, Sohrab
%A Morteza Pakdaman
%A Mahdi Ranjbar
%J Neural Computing and Applications
%@ 0941-0643
%D 2011
