Title of article :
Fully Fuzzy Linear Systems
Author/Authors :
Mikaeilvand، N. نويسنده , , Allahviranloo، T. نويسنده , , Hoseinzadeh Lotfi، F. نويسنده ,
Issue Information :
فصلنامه با شماره پیاپی 0 سال 2011
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 systemʹs 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.
Journal title :
International Journal of Applied Operational Research
Journal title :
International Journal of Applied Operational Research