The Quality Assessment of Pavement Performance Using the Entropy Weight-Variable Fuzzy Sets Model

As the assessment of pavement performance has considerable repercussions for construction quality roads, study procedure used is extremely critical. Riding index (RQI), condition (PCI), structure strength (PSSI), skid resistance (SRI), and antirutting (ARI) are selected as indexes performance. Then, entropy weight-variable fuzzy sets model introduced. Second, a relative membership degree matrix variable established, weight method to determine coefficients considering uncertainty in indices. Finally, level determined by using mean ranking feature value. The conclusions demonstrate very accurate rate based on compared that current specification, proposed feasible performance, thus providing novel means assessing future.