Title :
Modelling imprecise arguments in a weighted argument system
Author_Institution :
Comput. Sci. Dept., Tech. Univ. of Cluj-Napoca, Cluj-Napoca, Romania
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;
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
DOI :
10.1109/ICCP.2009.5284786
