Tutmez, B.Dag, A.2024-08-042024-08-0420091359-5997https://doi.org/10.1617/s11527-008-9370-1https://hdl.handle.net/11616/94704This 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.eninfo:eu-repo/semantics/closedAccessModelingCompressive strengthLinguistic approachCementArticle42110311110.1617/s11527-008-9370-12-s2.0-56749104026Q1WOS:000262988200009Q2