Probabilistic inference on three-valued logic

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

Volumn 2639, Issue , 2003, Pages 690-693

  Qi, Guilin ^a  

^a Yichun College   (China)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER CIRCUITS; DATA MINING; FUZZY SETS; GRANULAR COMPUTING; PROBABILISTIC LOGICS; ROUGH SET THEORY; ARTIFICIAL INTELLIGENCE; FORMAL LOGIC; INFORMATION TECHNOLOGY; LINEAR EQUATIONS; MATHEMATICAL MODELS; SET THEORY;

POSSIBLE WORLDS; PROBABILISTIC INFERENCE; SET MODELING; THREE-VALUED LOGIC; INTERVAL-SET MODEL;

MANY VALUED LOGICS; PROBABILISTIC LOGICS;

EID: 8344231532     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-39205-x_117     Document Type: Conference Paper

References (5)

1. N. J. Nilsson: Probability Logic, Artificial Intelligence. 28, 71–87, 1986.
2. G. Shafer: A Mathematical Theory of Evidence, Princeton University Press, 1976.
3. Y. Y. Yao, Xining Li: Comparison of Rough-set and Interval-set Model For Uncertainty Reasoning, Fundamenta Informaticae. 27 (1996) 289–298.
4. N. Recher: Many-valued Logic, New York, McGraw-Hill, 1969.
5. Z. Pawlak: Rough sets, International Journal of Computer and Information Science, 11, 341–356, 1981.