DocumentCode
2252962
Title
A note on fuzzy granular reasoning
Author
Murai, Tetsuya ; Kudo, Yasuo ; Huynh, Van Nam ; Tanaka, Akira ; Kudo, Mineichi
Author_Institution
Div. of Comput. Sci., Graduate Sch. of Information, Sapporo, Japan
Volume
1
fYear
2004
fDate
25-29 July 2004
Firstpage
263
Abstract
In this paper, firstly, processes of classical inference are reviewed as granular reasoning from a point of view of reconstructing Kripke-style models with granularity. The essential point of the reconstruction is that some possible worlds are amalgamated to generate granules of worlds and vice versa. It is also called zoom reasoning systems. Then, the idea is applied for fuzzy reasoning processes by considering fuzzily granularized possible worlds. There linguistic truth values with linguistic hedges can be naturally introduced.
Keywords
fuzzy reasoning; fuzzy set theory; classical inference; fuzzy granular reasoning; linguistic truth values; zoom reasoning system; Computer science; Cost accounting; Fuzzy reasoning; Fuzzy sets; Humans; Information science; Knowledge engineering; Logic; Set theory; Systems engineering and theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375731
Filename
1375731
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