International Journal of Computational Intelligence Systems

Volume 6, Issue 2, March 2013, Pages 318 - 327

A new approach for testing fuzzy hypotheses based on fuzzy data

Authors
Mohsen Arefi, S. Mahmoud Taheri
Corresponding Author
Mohsen Arefi
Received 5 August 2012, Accepted 27 October 2012, Available Online 1 March 2013.
DOI
https://doi.org/10.1080/18756891.2013.769768How to use a DOI?
Keywords
Degree of acceptance (DA), Degree of rejection (DR), Fuzzy confidence interval, Fuzzy hypothesis, Testing hypothesis, Computing with words
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.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
6 - 2
Pages
318 - 327
Publication Date
2013/03/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.1080/18756891.2013.769768How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Mohsen Arefi
AU  - S. Mahmoud Taheri
PY  - 2013
DA  - 2013/03/01
TI  - A new approach for testing fuzzy hypotheses based on fuzzy data
JO  - International Journal of Computational Intelligence Systems
SP  - 318
EP  - 327
VL  - 6
IS  - 2
SN  - 1875-6883
UR  - https://doi.org/10.1080/18756891.2013.769768
DO  - https://doi.org/10.1080/18756891.2013.769768
ID  - Arefi2013
ER  -