Paper Info
Title
A New Approach For Testing Fuzzy Hypotheses Based On Fuzzy Data
Abstract
A new approach for testing fuzzy hypotheses based on fuzzy data is introduced. According to the proposed approach, a method is first developed based on the defined fuzzy point estimation, which are then used to make a procedure for testing fuzzy hypotheses. This approach has been used to test simple, one-sided and two-sided fuzzy hypotheses. Two new criteria, called degree of acceptance (DA) and degree of rejection (DR), have been proposed to evaluate the test result. The application of the proposed method to lifetime testing is studied.
Year
DOI
Venue
2013
10.1080/18756891.2013.769768
INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS
Keywords
Field
DocType
Degree of acceptance (DA), Degree of rejection (DR), Fuzzy confidence interval, Fuzzy hypothesis, Testing hypothesis, Computing with words
Point estimation,Fuzzy classification,Defuzzification,Fuzzy measure theory,Fuzzy logic,Artificial intelligence,Adaptive neuro fuzzy inference system,Fuzzy data,Membership function,Machine learning,Mathematics
Journal
Volume
Issue
ISSN
6
2
1875-6891
Citations 
PageRank 
References 
0
0.34
14
Authors
2
Name
Order
Citations
PageRank
Mohsen Arefi100.68
S. Mahmoud Taheri29010.84