@ARTICLE{T. Allahviranloo,
author = {T. Allahviranloo, and N. Mikaeilvand, and F. Hoseinzadeh Lotfi, and . Fallah Jelodar, and },
title = {Fully Fuzzy Linear Systems},
volume = {1},
number = {1},
abstract ={As can be seen from the definition of extended operations on fuzzy numbers, subtraction and division of fuzzy numbers are not the inverse operations to addition and multiplication . Hence, to solve the fuzzy equations or a fuzzy system of linear equations analytically, we must use methods without using inverse operators. In this paper, a novel method to find the solutions in which 0 is not the inner point of supports, of fully fuzzy linear systems (shown as FFLS ) is proposed, if they exist by an analytic approach. The system's parameters were splitted into two groups of nonpositive and nonnegative by solving a multi objective linear programming problem, MOLP , and employing an embedding method to transform n× n FFLS to 2n× 2n parametric form linear system and hence, transforming operations on fuzzy numbers to operations on functions. And finally, numerical examples are used to illustrate this approach. Keywords: Fuzzy Numbers, Fully Fuzzy Linear System, Systems of Fuzzy Linear Equations, Embedding Method, Splitting Method. },
URL = {http://ijorlu.liau.ac.ir/article-1-46-en.html},
eprint = {http://ijorlu.liau.ac.ir/article-1-46-en.pdf},
journal = {International Journal of Applied Operational Research},
doi = {},
year = {2011}
}