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Evaluating the quality of patents and identifying high-quality patents from numerous patents can promote economic activities such as patent transfer, acquisition and custody, and pledge financing; assisting enterprises to understand the status quo of technology development, determine R&D direction, defend themselves against patent trolls and product infringement. In order to evaluate patent quality simply and effectively, a patent quality evaluation model based on entropy weight method and improved TOPSIS is proposed. First, the evaluation indicator system for patent quality were established, which included 5 categories and a total of 11 indicators. Then, the weights of each indicator were calculated by entropy method. Finally, we employ the improved TOPSIS and traditional TOPSIS to calculate the ranking of performance for each patent, and then compare the results of these two methods to verify the superiority of the improved method. The suggested methodology was applied to the Geriatric technology. The identifying of high quality patents is of a great significance to decision makers and can also serve as a useful reference for future studies, which may be of a great interest to the general audience.
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Stored only when both papers are in the corpus — 7 citations exist upstream.
Papers that cite the same references — the relational fallback while embeddings are still backfilling.
Imported from OpenAlex (CC0) — nothing here is generated.