With the advancement of technology and the development of intelligence, self-balancing scooters have gradually developed in the field of short-distance travel and have become a fashionable, popular and leisure means of transportation. In addition, both the export of self-balancing scooters and their safety are closely related to their core patents. Therefore, in order to promote the healthy development of the self-balancing automobile industry, this paper carries out the following research: First, we introduce the background of the self-balancing automobile patent and the research status of patent value evaluation at home and abroad. Then, considering the fuzziness of decision makers’ thinking and the uncertainty of patent indicators, this paper extends the traditional TOPSIS method to the field of triangular fuzzy numbers (TFNs), and proposes a TFN-TOPSIS multi-criteria decision model based on the possibility degree relationship model. In addition, this study establishes a core patent value system using three aspects of technology, law and economy, and applies the TFN-TOPSIS model to the top 20 balanced car patents with the highest comprehensive evaluation to rank and analyze the measurement results. On this basis, this paper provides reference opinions for relevant industry personnel from the aspects of future product technology updates and patent layouts.
With the development of science and technology, people’s travel modes have become more diversified, and self-balancing vehicles have become a popular travel tool for young people. However, in recent years, due to its quality instability, many regions have issued relevant bans, affecting the development of the balanced vehicle industry. In order to better understand balancing vehicle technology, this paper starts with the balancing vehicle patent, and carries out the following research: This paper first introduces the background and current situation of balanced vehicles and the patent. Then, the principle and model of multi-attribute decision-making based on the analytic hierarchy process (AHP-MADM) are described. According to the three-dimensional patent valuation system issued by the State Intellectual Property Office, a core patent valuation system is established. Then, the weights of patent evaluation attributes are calculated by the improved AHP. After, the patent value of the self-balancing vehicle is evaluated using the established AHP-MADM model. On this basis, the status of patent research and the development of self-balancing vehicles is studied to provide a reference for relevant industry personnel, especially R & D personnel, in future product technology updates and patent layout.
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