International Journal of Computational Intelligence Systems

Volume 3, Issue 1, April 2010, Pages 123 - 140

Fuzzy Regression Control Chart Based on α-cut Approximation

Authors
Sevil Sentürk
Corresponding Author
Sevil Sentürk
Received 16 March 2009, Accepted 8 February 2010, Available Online 1 April 2010.
DOI
https://doi.org/10.2991/ijcis.2010.3.1.12How to use a DOI?
Keywords
fuzzy sets, fuzzy numbers, control charts, regression control chart, tool wearing
Abstract
The fuzzy regression control chart is a functional technique to evaluate the process in which the average has a trend and the data represents a linguistic or approximate value. In this study, the theoretical structure of the “α-level fuzzy midrange for α-cut fuzzy X -regression control chart” is proposed for triangular (TFN) and trapezoidal (TrFN) membership functions. In addition, the real world application is evaluated with fuzzy X regression control charts and fuzzy R control charts for the triangular membership function.
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Journal
International Journal of Computational Intelligence Systems
Volume-Issue
3 - 1
Pages
123 - 140
Publication Date
2010/04/01
ISSN (Online)
1875-6883
ISSN (Print)
1875-6891
DOI
https://doi.org/10.2991/ijcis.2010.3.1.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - JOUR
AU  - Sevil Sentürk
PY  - 2010
DA  - 2010/04/01
TI  - Fuzzy Regression Control Chart Based on α-cut Approximation
JO  - International Journal of Computational Intelligence Systems
SP  - 123
EP  - 140
VL  - 3
IS  - 1
SN  - 1875-6883
UR  - https://doi.org/10.2991/ijcis.2010.3.1.12
DO  - https://doi.org/10.2991/ijcis.2010.3.1.12
ID  - Sentürk2010
ER  -