Abstract: To circumvent possible inconsistencies in inspection and rating of highway bridges, two models based on fuzzy logic have been proposed in the literature. These models combine the condition rating of the various elements of the main bridge components to evaluate the overall condition of these components. The first method uses fuzzy weighted average, and the second uses the fuzzy computational technique timberland uk known as resolution identity of fuzzy sets.
A third model proposed by the authors and implemented in a knowledge‐based expert system environment is presented in detail. The fuzzy inference model is based on a priority setting obtained through timberland sale sandals the solution of an eigenvector problem involving a pairwise comparison matrix of importance. This method and the associated solution… technique timberland sale shoes were developed originally for general use in multiattribute decision making timberland earthkeepers shoes but were never used in a bridge engineering application.
The proposed model timberland sale uk is timberland outlet online superior to other models for bridge rating previously developed because it provides priority settings of the individual elements of a bridge component in addition to the final rating of that component. The computer program was tested using actual bridge inspection data.