Nonmonotonic Fuzzy Rules in the Semantic Web
Xing Wang, Zongmin Ma, Changming Xu, Jingwei Cheng · 2009
Based on negation and negation as failure, in the paper, we propose a new rule language-fuzzy nonmonotonic semantic Web rule language (f-NSWRL), which suffices to represent and reason nonmonotonic fuzzy knowledge. The issue of priority is discussed and the deciding principles of priorities of competing rules are offered. To make RuleML play a role of an intermediary language when f-NSWRL interchanges rules with other rule languages, we extend RuleML to encode nonmonotonic fuzzy rules.