Method of TFN-TOPSIS Based on Possibility Degree Relation Model and Its Application in the Patent Value Estimation of Self-Balancing Vehicles

With the advancement of technology and development intelligence, self-balancing scooters have gradually developed in field short-distance travel become a fashionable, popular leisure means transportation. In addition, both export their safety are closely related to core patents. Therefore, order promote healthy automobile industry, this paper carries out following research: First, we introduce background patent research status value evaluation at home abroad. Then, considering fuzziness decision makers’ thinking uncertainty indicators, extends traditional TOPSIS method triangular fuzzy numbers (TFNs), proposes TFN-TOPSIS multi-criteria model based on possibility degree relationship model. study establishes system using three aspects technology, law economy, applies top 20 balanced car patents with highest comprehensive rank analyze measurement results. On basis, provides reference opinions for relevant industry personnel from future product updates layouts.