Fuzzy Approach for Group Sequential Test

Buckley’s approach (Buckley (2004), (2005), (2006)) uses sets of confidence intervals by taking into consideration both of the uncertainty and impreciseness of concepts that produce triangular shaped fuzzy numbers for the estimator. This approach produces fuzzy test statistics and fuzzy critical val...

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Main Authors: Duygu İçen, Sevil Bacanlı, Süleyman Günay
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Advances in Fuzzy Systems
Online Access:http://dx.doi.org/10.1155/2014/896150
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author Duygu İçen
Sevil Bacanlı
Süleyman Günay
author_facet Duygu İçen
Sevil Bacanlı
Süleyman Günay
author_sort Duygu İçen
collection DOAJ
description Buckley’s approach (Buckley (2004), (2005), (2006)) uses sets of confidence intervals by taking into consideration both of the uncertainty and impreciseness of concepts that produce triangular shaped fuzzy numbers for the estimator. This approach produces fuzzy test statistics and fuzzy critical values in hypothesis testing. In addition, the sample size is fixed for this test. When data comes sequentially, however, it is not suitable to study with a fixed sample size test. In such cases, sequential and group sequential tests are recommended. Unlike a sequential test, a group of sequential test provides substantial savings in sample and enables us to make decisions as early as possible. This intends paper to combine the benefits of group sequential test and Buckley's approach using α-cuts. It attempts to show that using α-cuts can be used within the group sequential tests. To illustrate the test more explicitly a numerical example is also given.
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institution OA Journals
issn 1687-7101
1687-711X
language English
publishDate 2014-01-01
publisher Wiley
record_format Article
series Advances in Fuzzy Systems
spelling doaj-art-df7fc2f356f44af9b254673b7c2297cd2025-08-20T02:21:08ZengWileyAdvances in Fuzzy Systems1687-71011687-711X2014-01-01201410.1155/2014/896150896150Fuzzy Approach for Group Sequential TestDuygu İçen0Sevil Bacanlı1Süleyman Günay2Department of Statistics, Hacettepe University, 06800 Ankara, TurkeyDepartment of Statistics, Hacettepe University, 06800 Ankara, TurkeyDepartment of Statistics, Hacettepe University, 06800 Ankara, TurkeyBuckley’s approach (Buckley (2004), (2005), (2006)) uses sets of confidence intervals by taking into consideration both of the uncertainty and impreciseness of concepts that produce triangular shaped fuzzy numbers for the estimator. This approach produces fuzzy test statistics and fuzzy critical values in hypothesis testing. In addition, the sample size is fixed for this test. When data comes sequentially, however, it is not suitable to study with a fixed sample size test. In such cases, sequential and group sequential tests are recommended. Unlike a sequential test, a group of sequential test provides substantial savings in sample and enables us to make decisions as early as possible. This intends paper to combine the benefits of group sequential test and Buckley's approach using α-cuts. It attempts to show that using α-cuts can be used within the group sequential tests. To illustrate the test more explicitly a numerical example is also given.http://dx.doi.org/10.1155/2014/896150
spellingShingle Duygu İçen
Sevil Bacanlı
Süleyman Günay
Fuzzy Approach for Group Sequential Test
Advances in Fuzzy Systems
title Fuzzy Approach for Group Sequential Test
title_full Fuzzy Approach for Group Sequential Test
title_fullStr Fuzzy Approach for Group Sequential Test
title_full_unstemmed Fuzzy Approach for Group Sequential Test
title_short Fuzzy Approach for Group Sequential Test
title_sort fuzzy approach for group sequential test
url http://dx.doi.org/10.1155/2014/896150
work_keys_str_mv AT duyguicen fuzzyapproachforgroupsequentialtest
AT sevilbacanlı fuzzyapproachforgroupsequentialtest
AT suleymangunay fuzzyapproachforgroupsequentialtest