Rough Set Approach to CBR

We discuss how Case Based Reasoning (CBR) (see e.g. [1], [4]) philosophy of adaptation of some known situations to new similar ones can be realized in rough set framework [5] for complex hierarchical objects. We discuss how various problems can be represented by means of complex objects described by hierarchical attributes, and how to use similarity between them for predicting the relevant algorithms corresponding to these objects. The complex object attributes are of different types: basic attributes related to problem definition (e.g. features of object parts), attributes reflecting some additional characteristic of problem (e.g. features of more complex objects inferred from properties of their parts and their relations), and attributes representing algorithm structures (e.g. order and/or properties of operations used to solve the given problem). We show how to define these particular attributes sets, and how to recognize the similarity of objects in order to transform algorithms co...

• Type: Conference
• Year: 2000
• Where: RSCTC
• Authors: Jan Wierzbicki
• Keywords: Algorithms, Complex Object, Fuzzy Logic, Hierarchical Attributes, RSCTC 2000