Probabilistic inference and bayesian theorem based on logical implication

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

Volumn 1711, Issue , 1999, Pages 334-342

  Yamauchi, Yukari ^a   Mukaidono, Masao ^a  

^a MEIJI UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

DATA MINING; PROBABILISTIC LOGICS; PROBABILITY; ROUGH SET THEORY; SOFT COMPUTING;

APPROXIMATED REASONING; BAYES' THEOREM; BAYESIAN THEOREM; CONDITIONAL PROBABILITIES; LOGICAL IMPLICATIONS; PROBABILISTIC INFERENCE; PROBABILISTIC REASONING; UNCERTAIN KNOWLEDGE;

COMPUTATION THEORY;

EID: 33847353649     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-48061-7_40     Document Type: Conference Paper

References (3)

1. E. Trillas, S. Cubillo, “Modus ponens on Boolean algebra revisited," Mathware & Soft Computing 3 (1996), 105-112.
2. N.J. Nilsson, “Probabilistic Logic", Artificial Intelligence, Vol.28, No.1, 71-78, (1986)
3. Y. Yamauchi, M. Mukaidono, “Interval and Paired Probabilities for Treating Uncertain Events," IEICE Transactions of Information and Systems, Vol. E82-D, No.5, 955-961, (1999)