Application of the Method of Expert Evaluation while Studying Automobile Traffic Peculiarities
Knowledge bases of intelligence information networks based on rules in many implementations use data which sources are specialists, experts. Set of ways of data and knowledge collection and processing providing by experts is called the method of expert evaluation. In this work one of the given methods is used. Notably the generalized model of the Tucker individual differences search is considered and realized. It is used for scale finding and introduction of stimuli and subjects in coordinate space evaluated them with regard to the automobile traffic at various speed and driving conditions. To confirm automation of theoretical computations differences parent matrix of the dimension 3 3 is used and stimulus graphic expression in factor space with the possibility to expand given model on the differences matrixes of the arbitrary dimension is obtained. According to the used algorithm if we consider performance criterion F to be satisfactory only two factorial directions can be limited, that is at various speeds two latent factors (tire bead height and side load) influence on the wheel slip rate, taking into account aggregate exposure of all stimuli to a certain degree. EXPERT EVALUATION METHOD, TAKER MODEL, AUTOMOBILE, WHEEL SLEEP, FACTOR SPACE, PERFORMANCE CRITERION