MILL 发表于 2025-3-30 09:25:34
Uncertaintyly in applications. Of special interest is the relation to similarity. The rough set concept provides a method of describing uncertain results in a user-controlled way. Fuzzy sets and their logical descriptions are introduced. Examples show the relations between fuzzy sets and CBR. In addition, possconference 发表于 2025-3-30 12:58:14
Probabilitiesenomena. Some basic knowledge about probabilities is required. We discuss that the connections between similarities and probabilities are manifold. There are two directions: Probabilities give rise to adequate similarity measures. First we introduced covariance and correlation measures and the Kullb博爱家 发表于 2025-3-30 18:59:22
https://doi.org/10.1007/978-3-642-40167-1Artificial intelligence; Case-based reasoning (CBR); Complex knowledge; Information retrieval; KnowledgeNEX 发表于 2025-3-30 23:27:09
http://reply.papertrans.cn/23/2224/222317/222317_54.pngabstemious 发表于 2025-3-31 04:32:21
Michael M. Richter,Rosina O. WeberFirst English-language textbook on the topic.Coauthor among the pioneers of the subject.Content thoroughly class-tested, book features chapter summaries, background notes, and exercises throughout.IncArmada 发表于 2025-3-31 07:27:32
http://image.papertrans.cn/c/image/222317.jpg费解 发表于 2025-3-31 09:59:25
Advances in Information Technologies,ly an interest in learning about it. It e positions case-based reasoning (CBR) in its scientific, educational, and applied contexts; it is therefore crucial for anyone interested in learning or teaching CBR. It provides a very intuitive notion of the CBR reasoning paradigm that can be understood bydeceive 发表于 2025-3-31 14:23:03
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