Title :
Reasoning and retrieval based on similarity and satisfaction
Author_Institution :
Nat. Univ. of Singapore, Singapore
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;
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-4053-1
DOI :
10.1109/ICSMC.1997.633064
