Title :
Attribute Reduction as Calculation of Focus in Granular Reasoning
Author :
Kudo, Yasuo ; Murai, Tetsuya
Author_Institution :
Dept. of Comput. Sci. & Syst. Eng., Muroran Inst. of Technol., Muroran
Abstract :
Granular reasoning proposed by Murai et al. is a mechanism for reasoning using granular computing, and the concept of "focus" has been proposed as a key concept of granular reasoning. On the other hand, the authors have redefined the concept of focus, and have proposed another concept of granularity, called visibility. However, as a result of the redefinition of focus, calculation of focus is very difficult because we need to check each atomic sentence in the visibility whether the atomic sentence is implied from the set of sentences we use in the current step of reasoning. In this paper, we propose a calculation method of focus in granular reasoning based on attribute reduction of rough set theory.
Keywords :
inference mechanisms; rough set theory; atomic sentence; attribute reduction; focus calculation; granular computing; granular reasoning; rough set theory; visibility; Computer science; Cost accounting; Data analysis; Information science; Logic; Set theory; Systems engineering and theory; attribute reduction; focus; granular reasoning; rough set; visibility;
Conference_Titel :
Multiple-Valued Logic, 2009. ISMVL '09. 39th International Symposium on
Conference_Location :
Naha, Okinawa
Print_ISBN :
978-1-4244-3841-9
Electronic_ISBN :
0195-623X
DOI :
10.1109/ISMVL.2009.36