Landmark Selection Based on Similarity Measure of Vague Soft Sets Considering User Preferences

As a kind of route clue, landmark is very important because it can convey a kind of enlightening hint when people make route choice. Pedestrians' cognition of landmarks is related to themselves, and the existing landmark selection methods do not consider user preferences. To solve this problem, considering setting topic parameters to represent user preferences for each landmark significance influencing factor, this paper constructs a landmark selection model based on similarity measure of Vague soft sets with user preferences, which the topic weights normalized by the topic parameters are integrated into the similarity measure equation of Vague soft sets, and the similarity measures to select landmarks are calculated by comparing with the ideal solutions. Compared with the existing methods, the landmarks selected by the method of this paper are more in line with the user cognition and more effective to prompt the user to choose the route.