哄笑
发表于 2025-3-21 19:12:08
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土产
发表于 2025-3-21 23:30:55
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和蔼
发表于 2025-3-22 02:48:43
Hexagon of Intelligenceo characterize what intelligence is, its relation with computability, creativity, understanding and undecidability..In a first part, we make some general comments about the history, development and objectives of AI. In a second part, we present two diametrically opposed ways of reasoning, one comput
cataract
发表于 2025-3-22 05:31:17
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Infiltrate
发表于 2025-3-22 11:46:00
Logical Treatment of Incomplete/Uncertain Information Relying on Different Systems of Rough Setsground knowledge and we cannot say more about an arbitrary set or about its members than its lower and upper approximations make possible. New membership relations have to be introduced. The semantics of classical logic is based on classical set theory. An important question: Is it possible to build
离开真充足
发表于 2025-3-22 13:15:29
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比喻好
发表于 2025-3-22 20:13:22
P-T Probability Framework and Semantic Information G Theory Tested by Seven Difficult Taskson theory. This theory uses the P-T probability framework so that likelihood functions and truth functions (or membership functions), as well as sampling distributions, can be put into the semantic mutual information formula at the same time. Hence, we can connect statistics and (fuzzy) logic. Rate-
骑师
发表于 2025-3-23 00:44:01
Trilevel Multi-criteria Decision Analysis Based on Three-Way DecisionCDA). The main motivations and contributions are a new understanding of multi-criteria decision analysis at three levels: 1) single-criterion-level analysis with respect to individual criteria, 2) multi-criteria-level aggregation by pooling results from many criteria, and 3) multi-methods-level ense
Glaci冰
发表于 2025-3-23 02:22:15
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珍奇
发表于 2025-3-23 09:19:56
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