This paper is concerned with the uncertain multiattribute decision-making (UMADM) of which the attribute value is triangular fuzzy number. Firstly, the max-relative similarity degree and min-relative similarity degree of alternative decision-making objects are given based on the relative similarity degree of triangular fuzzy number, the advantage relation theories to comparative relative similarity degree of triangular fuzzy number are proposed, and some good properties, relations, and conclusions are derived. Secondly, in order to determine the attribute weight vector, a triangular fuzzy number-based decision-making object relative similarity programming model is established with the help of maximizing possibility degree algorithm rules in the cooperative game theory. Subsequently, by aggregating the comparison overall relative similarity degree values of all decision-making objects, we could pick over and sort the set of alternative objects and gather a new model algorithm for the relative similarity programming of triangular fuzzy number-based multiple attribute decision-making alternatives. Finally, an example is given to illustrate the feasibility and practicability of the model algorithm presented in this paper.
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.
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