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| article pdf uploaded. | 31 January 2026 09:16 CET | Version of Record | https://www.mdpi.com/1099-4300/28/2/159/pdf |
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| article pdf uploaded. | 31 January 2026 09:16 CET | Version of Record | https://www.mdpi.com/1099-4300/28/2/159/pdf |
Li, X.; Liu, W.; Liang, X.; Zhou, A. Entropy-Based Patent Valuation: Decoding “Costly Signals” in the Food Industry via a Robust Entropy–TOPSIS Framework. Entropy 2026, 28, 159. https://doi.org/10.3390/e28020159
Li X, Liu W, Liang X, Zhou A. Entropy-Based Patent Valuation: Decoding “Costly Signals” in the Food Industry via a Robust Entropy–TOPSIS Framework. Entropy. 2026; 28(2):159. https://doi.org/10.3390/e28020159
Chicago/Turabian StyleLi, Xiaoman, Wei Liu, Xiaohe Liang, and Ailian Zhou. 2026. "Entropy-Based Patent Valuation: Decoding “Costly Signals” in the Food Industry via a Robust Entropy–TOPSIS Framework" Entropy 28, no. 2: 159. https://doi.org/10.3390/e28020159
APA StyleLi, X., Liu, W., Liang, X., & Zhou, A. (2026). Entropy-Based Patent Valuation: Decoding “Costly Signals” in the Food Industry via a Robust Entropy–TOPSIS Framework. Entropy, 28(2), 159. https://doi.org/10.3390/e28020159