Assessment of Dimension Stone Qualty Through Fuzzy Logic Inference System

Abstract

AbstractIn this study, Fuzzy Inference System (FIS) was adopted to evaluate the dimension stone quality. For this purpose, 19 different rock types from different parts of Turkey were considered. Several membership functions were established using various rock properties such as dry density (ρd), water absorption by weight (wa), uniaxial compressive strength (UCS), flexural strength (FS) and Böhme abrasion value (BAV). Based on 33 if–then rules, the implementation and verification of the proposed FIS model were made in this study. The results obtained from the FIS analyses were declared as a dimension stone field performance coefficient (DSFPC), where higher DSFPC values indicate dimension stones with higher quality. The results obtained from the FIS analyses are almost in good agreement with those obtained from the field performances of the investigated rocks. However, the number of cases should be increased to improve the proposed FIS model. In this context, the number of if–then rules and membership functions can be rearranged according to the need. This study, in this manner, can be declared a case study indicating how to quantity dimension stone quality based on FIS analyses.