An α-cut approach for fuzzy product and its use in computing solutions of fully fuzzy linear systems Online publication date: Tue, 06-Feb-2018
by Reza Hassanzadeh; Iraj Mahdavi; Nezam Mahdavi-Amiri; Ali Tajdin
International Journal of Mathematics in Operational Research (IJMOR), Vol. 12, No. 2, 2018
Abstract: We propose an approach for computing the product of various fuzzy numbers using α-cuts. A regression model is used to obtain the membership function of the product. Then, we make use of the approach to compute solutions of fully fuzzy linear systems. We also show how to compute solutions of fully fuzzy linear systems with various fuzzy variables. Examples are worked out to illustrate the approach.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
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 Mathematics in Operational Research (IJMOR):
Login with your Inderscience username and 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