This paper proposes using a non-linear integral tool to address such a problem. Five fuzzy integrals with respect to a fuzzy measure or a nonadditive set ...

Abstract: The guiding principle of case-based reasoning. (CBR) is the CBR-hypothesis which assumes that “similar problems have similar solutions”.

The guiding principle of case-based reasoning (CBR) is the CBR-hypothesis which assumes that “similar problems have similar solutions”.

Bibliographic details on Using fuzzy integral to modeling case based reasoning with feature interaction.

Using fuzzy integral to modeling case based reasoning with feature interaction · A logical foundation for the case‐based reasoning cycle · Case-Based Reasoning: A ...

Mar 17, 2023 · This paper is an attempt at providing a fuzzy set formalization of case-based reasoning and decision. Learning aspects are not considered ...

In this paper, we propose a fuzzy integral based approach to measure the competence of different CBR agents in the network and suggest three query dispatching ...

[48] X. Z. Wang and D. S. Yeung, “Using fuzzy integral to modeling case based reasoning with feature interaction,” 2000 IEEE. International Conference on ...

Using fuzzy integral to modeling case based reasoning with feature interaction ... by using the integral model instead of using the weighted average model.

In present paper, a new approach is proposed in which it is possible the dynamic interaction of both models of knowledge representation. The essence of the ...