Reasoning and retrieval based on similarity and satisfaction

Author

Ding, Liya

Author_Institution

Nat. Univ. of Singapore, Singapore

Volume

4

fYear

1997

fDate

12-15 Oct 1997

Firstpage

3102

Abstract

Reasoning and retrieval based on uncertain information and imprecise knowledge is requested for design of various intelligent information systems. An important issue is how to equip them with the capability to transmit uncertainty from imprecise requirement (query) to a conclusion with a reasonable level of belief and satisfaction. The author briefly analyzes the requirement from approximate reasoning and fuzzy retrieval. A satisfaction measure is then proposed. The properties of the satisfaction measure are also discussed

Keywords

database theory; deductive databases; fuzzy logic; inference mechanisms; query processing; uncertainty handling; visual databases; approximate reasoning; belief; fuzzy retrieval; imprecise knowledge; imprecise query; imprecise requirement; intelligent information systems; reasoning; retrieval; satisfaction; satisfaction measure; similarity; uncertain information; Databases; Educational institutions; Fuzzy logic; Fuzzy reasoning; Information systems; Intelligent systems; Production facilities; Samarium;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on

Conference_Location

Orlando, FL

ISSN

1062-922X

Print_ISBN

0-7803-4053-1

Type

conf

DOI

10.1109/ICSMC.1997.633064

Filename

633064