DocumentCode
1837509
Title
Modelling imprecise arguments in a weighted argument system
Author
Groza, Adrian
Author_Institution
Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
fYear
2009
fDate
27-29 Aug. 2009
Firstpage
43
Lastpage
46
Abstract
The paper applies the newly proposed weighted argument systems (WAS) and the associated notion of inconsistency budget. Fuzzy theory and ontological knowledge are used to supply WAS with the required weights, whilst the weighted argument systems provide a beautiful and simple principle to decide which fuzzy logic to use for reasoning, given an argumentation set.
Keywords
decidability; fuzzy logic; fuzzy reasoning; fuzzy set theory; ontologies (artificial intelligence); WAS; decidability; fuzzy logic; fuzzy reasoning; fuzzy set theory; imprecise argument modelling; inconsistency budget; ontological knowledge; weighted argument system; Computer aided manufacturing; Computer science; Computer science education; Costs; Fuzzy logic; Fuzzy reasoning; Humans; Instruments; Ontologies; Packaging; description logic; fuzzy reasoning; knowledge representation; weighted argument systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computer Communication and Processing, 2009. ICCP 2009. IEEE 5th International Conference on
Conference_Location
Cluj-Napoca
Print_ISBN
978-1-4244-5007-7
Type
conf
DOI
10.1109/ICCP.2009.5284786
Filename
5284786
Link To Document