A rough set approach to measuring information granules

Proceedings-IEEE Computer Society's International Computer Software and Applications Conference

Volumn , Issue , 2002, Pages 1135-1139

  Peters, J F ^a   Pawlak, Z ^b   Skowron, A ^c  

^a UNIVERSITY OF MANITOBA   (Canada)

^b INSTITUTE OF THEORETICAL AND APPLIED INFORMATICS   (Poland)

^c UNIVERSITY OF WARSAW   (Poland)

Author keywords

Closeness; Inclusion; Indistinguishability; Information granule; Measure; Rough sets; Sensor

Indexed keywords

INFORMATION GRANULES; SENSOR SIGNAL;

APPROXIMATION THEORY; ARTIFICIAL INTELLIGENCE; DATA STRUCTURES; EQUIVALENCE CLASSES; MEMBERSHIP FUNCTIONS; SENSOR DATA FUSION; VECTORS;

ROUGH SET THEORY;

EID: 0036392083     PISSN: 07303157     EISSN: None     Source Type: Journal    
DOI: 10.1109/CMPSAC.2002.1045164     Document Type: Article

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