New decomposition method for solving dual fully fuzzy linear systems
by Ahmad Jafarian
International Journal of Fuzzy Computation and Modelling (IJFCM), Vol. 2, No. 1, 2016

Abstract: Various methods are proposed by different authors to solve linear equation for dual fuzzy system. Also, in the dual fully fuzzy linear system (DFFLS) all parameters are considered to be fuzzy numbers. In this manuscript, we have extended symmetric and triangular (ST) decomposition to solve the DFFLS. Since triangular fuzzy numbers is a special case of trapezoidal fuzzy numbers, then on solving the DFFLS with trapezoidal fuzzy numbers is discussed. The ST decomposition method can solve these systems in a smaller computing process. The explicit scheme is given and then the proposed algorithm is illustrated with solving some numerical examples.

Online publication date: Wed, 20-Jul-2016

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Fuzzy Computation and Modelling (IJFCM):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com