Rough sets: probabilistic versus deterministic approach

International Journal of Man-Machine Studies

Volumn 29, Issue 1, 1988, Pages 81-95

  Pawlak, Zdzislaw ^a   Wong, S K M ^b   Ziarko, Wojciech ^b  

^a POLISH ACADEMY OF SCIENCES   (Poland)

^b UNIVERSITY OF REGINA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION THEORY AND ANALYSIS; PROBABILITY; SYSTEMS SCIENCE AND CYBERNETICS--LEARNING SYSTEMS;

DETERMINISTIC MODELS; KNOWLEDGE REPRESENTATION SYSTEM; PROBABILISTIC MODELS; ROUGH SETS;

ARTIFICIAL INTELLIGENCE;

EID: 0024038052     PISSN: 00207373     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0020-7373(88)80032-4     Document Type: Article

References (20)

1. A methodology of design knowledge acquisition for use in learning expert systems
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3. Expressive power of knowledge representation
4. Rough sets
5. On superfluous attributes in knowledge representation
6. On decision tables
7. Rough classification of patients after highly selective vagotomy for duodendal ulcer
8. First step towards an approximation logic
9. A mathematical theory of communication
10. The rough sets utilization in linquistic pattern recognition
11. INFER—an adaptive decision support system
12. Comparison of the probabilistic approximate classification and the fuzzy set model
13. Conceptual schema design: a machine learning approach
14. PRUF—a Meaning representional language for natural languages
15. On reduction of knowledge representation