DocumentCode :
3394607
Title :
Satisfaction measure for result in fuzzy reasoning and retrieval an attempt towards the application of fuzzy logic as the "brainware" of the Internet
Author :
Ding, Liya ; Mukaidono, Masao
Author_Institution :
Inst.of Syst. Sci., Nat. Univ. of Singapore, Singapore
Volume :
4
fYear :
2001
fDate :
25-28 July 2001
Firstpage :
2200
Abstract :
Reasoning and retrieval based on uncertain information and imprecise knowledge is often requested in designing and developing intelligent information systems. As a recent trend, the ideas of fuzzy logic have also been widely used in searching the Internet. An important issue for these applications is to equip the reasoning and retrieval with the capability of transmitting the uncertainty from imprecise requirements to a conclusion at a reasonable level of belief and satisfaction. In this paper, we discuss the concept of a satisfaction measure in fuzzy reasoning and retrieval
Keywords :
Internet; deductive databases; fuzzy logic; inference mechanisms; relevance feedback; uncertainty handling; Internet brainware; Internet searching; belief level; conclusion; fuzzy logic; fuzzy reasoning; fuzzy retrieval; imprecise knowledge; imprecise requirements; intelligent information systems; results satisfaction measure; uncertain information; Application software; Computer science; Databases; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Information retrieval; Information systems; Intelligent systems; Internet;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-7078-3
Type :
conf
DOI :
10.1109/NAFIPS.2001.944411
Filename :
944411
Link To Document :
بازگشت