Determination of approximate fuzzy membership function using linguistic input - an approach based on interpolation
by Rahul Kar; Supratim Mukherjee
International Journal of Hybrid Intelligence (IJHI), Vol. 2, No. 1, 2021

Abstract: From the beginning, the assessment of membership function in fuzzy mathematics is a demanding task. The extraction of the membership function is ambience dependent and thus complication exists in the process of evaluation. In this assessment, the main work deals with the derivation of fuzzy membership function where numerical data is available. The numerical interpolation and defuzzification technique are used here. Many types of fuzzy number have been used to find out the membership function. In this paper, we mainly used triangular fuzzy number to construct the membership function. A case study is furnished to emphasise the advantage of adopting the method.

Online publication date: Sun, 26-Sep-2021

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 Hybrid Intelligence (IJHI):
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