Credibility hypothesis testing of fuzzy exponential distributions
by S. Sampath; B. Ramya
International Journal of Fuzzy Computation and Modelling (IJFCM), Vol. 1, No. 3, 2015

Abstract: Under fuzzy environment, formulating an appropriate membership function is a vital process. Usually membership functions involve certain constants which are in general unknown. Recently, Sampath and Ramya (2014b) suggested a procedure to test the validity of a hypothesis regarding the credibility distribution of a fuzzy variable against a rival hypothesis using a criterion called 'membership ratio criterion' and made a detailed study with reference to triangular credibility distributions. This paper is devoted to study the properties of the test resulting from the application of membership ratio criterion when the competing hypotheses are statements about fuzzy exponential distribution.

Online publication date: Tue, 16-Jun-2015

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