A Comparative study of concrete strength prediction using fuzzy modeling and neuro-fuzzy modeling techniques

In this study, a comparative study of concrete strength prediction have been carried out by using three different models called type-1 fuzzy model, type-2 fuzzy model, and neuro-fuzzy model. These three models have been applied for concrete strength prediction of ready mix concrete based on its design mix constituents, namely cement, blast furnace slag, fly ash, water, superplasticizer, coarse aggregate, and age. Three different statistical performance measures have been used for evaluating the models. The experimental results show that type-2 fuzzy model give a better performance measures.