A note on filtration and granular reasoning

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2253, Issue , 2001, Pages 385-389

  Murai, Tetsuya ^a   Nakata, Michinori ^b   Saton, Yoshiharu ^a  

^a HOKKAIDO UNIVERSITY   (Japan)

^b JOSAI INTERNATIONAL UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; ARTIFICIAL INTELLIGENCE;

FILTRATION METHODS; GRANULAR REASONING; HUMAN REASONING; LOWER AND UPPER APPROXIMATIONS; MODAL LOGIC; REASONING PROCESS;

ROUGH SET THEORY;

EID: 84974676922     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45548-5_51     Document Type: Conference Paper

References (3)

1. Chellas, B.F. (1980): Modal Logic: An Introduction. Cambridge Univ. Press, Cambridge
2. Lin, T.Y. (1998): Granular Computing on Binary Relation, I Data Mining and Neighborhood Systems, II Rough Set Representations and Belief Functions. L. Polkowski and A. Skowron (eds.), Rough Sets in Knowledge Discovery 1: Methodology and Applications, Physica-Verlag, Heidelberg, 107-121, 122-140
3. Pawlak, Z. (1991): Rough Sets: Theoretical Aspects of Reasoning about Data, Kluwer, Dordrecht