不如乐死去
发表于 2025-3-23 10:34:10
https://doi.org/10.1007/978-981-13-1654-8Artificial Intelligence; Approximation Reasoning; Fuzzy Logic; Fuzzy Interpolation; Backward Fuzzy Inter
渐强
发表于 2025-3-23 16:02:10
978-981-13-4661-3Springer Nature Singapore Pte Ltd. 2019
空气
发表于 2025-3-23 18:32:14
https://doi.org/10.1007/978-3-540-31211-6issing antecedent value to be interpolated in a backward fashion by exploiting the other given antecedents and the consequent. S-BFRI works by performing indirect interpolative reasoning which involves several intertwined fuzzy rules, each with multiple antecedents. However, no existing technique, (
乐意
发表于 2025-3-24 00:08:23
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混合
发表于 2025-3-24 03:19:51
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Carbon-Monoxide
发表于 2025-3-24 06:31:04
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Expediency
发表于 2025-3-24 10:42:33
Physical Fractionation of Organic MatterApproximate reasoning (AR) Shen and Leitch in IEEE Trans Syst Man Cybern 23:1038–1061 (1993), , Synthese 30:407–408 (1975), ) is a group of methodologies and techniques, which concentrate on the processing of inexact information containing imprecision and uncertainty in artificial intelligence (AI) and computational intelligence (CI).
领袖气质
发表于 2025-3-24 16:43:30
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冒失
发表于 2025-3-24 20:49:13
https://doi.org/10.1007/978-3-540-31211-6Fuzzy rule interpolation significantly improves the robustness of fuzzy reasoning. It provides a way to reduce the complexity of fuzzy systems by omitting those rules which can be approximated by their neighbouring ones.
挑剔小责
发表于 2025-3-25 01:40:23
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