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Titlebook: Soft Computing in Case Based Reasoning; Sankar K. Pal (Distinguished Scientist and Head),T Book 2001 Springer-Verlag London Limited 2001 a

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11#
發(fā)表于 2025-3-23 10:30:32 | 只看該作者
12#
發(fā)表于 2025-3-23 15:07:48 | 只看該作者
olume is timely.Introduces the basic concepts and theories.I.Soft Computing in Case Based Reasoning. demonstrates how various soft computing tools can be applied to design and develop methodologies and systems with case based reasoning for real-life decision-making or recognition problems..Comprisin
13#
發(fā)表于 2025-3-23 20:28:07 | 只看該作者
14#
發(fā)表于 2025-3-24 00:42:28 | 只看該作者
Formalizing Case Based Inference Using Fuzzy Rulesrity relations, and hence for expressing the case based reasoning hypothesis to be used in the inference process. Moreover, the idea of rating cases based on the quality of information they provide is touched upon.
15#
發(fā)表于 2025-3-24 05:42:35 | 只看該作者
16#
發(fā)表于 2025-3-24 07:29:33 | 只看該作者
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發(fā)表于 2025-3-24 13:31:38 | 只看該作者
A Tutorial on Case Based Reasoning and when and how to use it. The second Section looks at the description and indexing of cases in CBR systems. The retrieval and adaptation processes for finding solutions are outlined in Section 1.3. Learning and maintenance of CBR, owing to the changes in domain knowledge and task environments ove
18#
發(fā)表于 2025-3-24 16:53:32 | 只看該作者
On the Notion of Similarity in Case Based Reasoning and Fuzzy Theoryures. We consider this problem under the viewpoint of case based reasoning and fuzzy theory. While distance and similarity can be considered to be formally equivalent, there exist some differences concerning their intuitive use which have impact on the composition of global measures from local ones.
19#
發(fā)表于 2025-3-24 19:05:34 | 只看該作者
Formalizing Case Based Inference Using Fuzzy Ruleshin the framework of approximate reasoning. We discuss different types of rules for encoding the heuristic reasoning principle underlying case based problem solving, which leads to different approaches to case based inference. The use of modifiers in fuzzy rules is proposed for adapting basic simila
20#
發(fā)表于 2025-3-25 02:15:10 | 只看該作者
Hybrid Approaches for Integrating Neural Networks and Case Based Reasoning: From Loosely Coupled to rks can be used to implement a complete CBR system, to implement a special phase of the CBR cycle as retrieval or adaptation, and it can also be used separately with a CBR system in order to contribute to the accomplishment of a given task. We show example systems of the different schemes; we then p
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