Title :
Non-monotonic reasoning in prioritized knowledge bases based on granular reasoning
Author :
Kudo, Yasuo ; Murai, Tetsuya
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Japan
Abstract :
We propose a method of semantically nonmonotonic reasoning in prioritized knowledge bases based on incomplete information systems and granular reasoning. Our nonmonotonic reasoning is characterized as "reasoning with disregard of difference of detail." We provide granularized models and priority of each rule, and formulate the method of semantically non-monotonic reasoning based on the idea of ignored sets, rejected sets and possible tuples of atomic sentences that we propose.
Keywords :
fuzzy reasoning; fuzzy set theory; information systems; granular reasoning; incomplete information system; prioritized knowledge bases; semantically nonmonotonic reasoning; Computer science; Information science; Information systems; Knowledge engineering; Multivalued logic; Null value; Rough sets; Set theory; Systems engineering and theory;
Conference_Titel :
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
Print_ISBN :
0-7803-8353-2
DOI :
10.1109/FUZZY.2004.1375734
