Integration of abductive CBR and deductive CBR

Author

Sun, Zhaohao ; Finnie, Gavin ; Weber, Klaus

Author_Institution

Sch. of Inf. Technol., Bond Univ., Gold Coast, Qld., Australia

Volume

3

fYear

2001

fDate

6/23/1905 12:00:00 AM

Firstpage

1432

Lastpage

1435

Abstract

Abduction and deduction play a fundamental role in problem solving. The paper extends abduction and deduction to abductive CBR (case-based reasoning) and deductive CBR and shows that abductive CBR and deductive CBR can be integrated in problem solving. Then it provides a unified formalization for integration of abduction, abductive CBR, deduction and deductive CBR. The paper also investigates abductive case retrieval and deductive case retrieval using similarity relations, fuzzy similarity relations and similarity metrics. The proposed approach demonstrates that the integration of abductive CBR and deductive CBR is of practical significance in problem solving such as system diagnosis and analysis

Keywords

case-based reasoning; fuzzy logic; nonmonotonic reasoning; abduction; abductive case retrieval; abductive case-based reasoning; deduction; deductive case retrieval; deductive case-based reasoning; fuzzy similarity relations; similarity metrics; Artificial intelligence; Bonding; Fuzzy reasoning; Information technology; Laboratories; Logic; Medical diagnostic imaging; Performance analysis; Problem-solving; Sun;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 2001. The 10th IEEE International Conference on

Conference_Location

Melbourne, Vic.

Print_ISBN

0-7803-7293-X

Type

conf

DOI

10.1109/FUZZ.2001.1008928

Filename

1008928