| dc.contributor.author |
Tutmez, B |
|
| dc.contributor.author |
Dag, A |
|
| dc.date.accessioned |
2022-10-19T09:38:47Z |
|
| dc.date.available |
2022-10-19T09:38:47Z |
|
| dc.date.issued |
2009 |
|
| dc.identifier.uri |
http://hdl.handle.net/11616/82270 |
|
| dc.description.abstract |
This paper presents a soft methodology for predicting the 28-day compressive strength of Portland cement (CCS) by making use of the 1-day, 3-day and 7-day CCS values. Data taken from a cement plant in Turkey have been employed in the model construction and testing. For implementation, linguistic models were designed based on if-then fuzzy rules. In addition, predictions of these models were compared with results of the regression models. The performance evaluations showed that the linguistic-based fuzzy predictions are very satisfactory in estimating cement strength and the linguistic modeling performs better than regression modeling. |
|
| dc.description.abstract |
C1 [Tutmez, B.] Inonu Univ, Sch Engn, TR-44280 Malatya, Turkey. |
|
| dc.description.abstract |
[Dag, A.] Cukurova Univ, Sch Engn, TR-01330 Adana, Turkey. |
|
| dc.source |
MATERIALS AND STRUCTURES |
|
| dc.title |
A linguistic model for evaluating cement strength |
|