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In the application of Z-number, how to generate Z-number is a significant and open issue. In this paper, we proposed a method of generating Z-number based on the OWA weights using maximum entropy considering the attitude (preference) of the decision maker. Some numerical examples are used to illustrate the effectiveness of the proposed method. Results show that the attitude (preference) of the decision maker can give an optimal possibility distribution of the reliability for Z-number using maximum entropy.
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Stored only when both papers are in the corpus — 84 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.