Possibilistic causality consistency problem based on asymmetrically-valued causal model

Fuzzy Sets and Systems - Tập 132 - Trang 33-48 - 2002
Koichi Yamada1
1Department of Management and Information Systems Science, Nagaoka University of Technology, 1603-1 Kami-tomioka, Nagaoka, Niigata 920-2188, Japan

Tài liệu tham khảo

Cheng, 1997, From covariation to causation, Psychol. Rev., 104, 367, 10.1037/0033-295X.104.2.367 Cooper, 1990, The computational complexity of probabilistic inference using Bayesian belief networks, Artificial Intelligence, 42, 393, 10.1016/0004-3702(90)90060-D Dagum, 1993, Approximating probabilistic inference in Bayesian belief networks is NP-hard, Artificial Intelligence, 60, 141, 10.1016/0004-3702(93)90036-B Dubois, 2001, A possibilistic framework for single-fault causal diagnosis under uncertainty, Internat. J. Gen. Systems, 30, 167, 10.1080/03081070108960704 Dubois, 1986, Possibilistic inference under matrix form, 112 Dubois, 1988 Dubois, 1991, Epistemic entrenchment and possibilistic logic, Artificial Intelligence, 50, 223, 10.1016/0004-3702(91)90101-O Dubois, 1994, A survey of belief revision and updating rules in various uncertainty models, Internat. J. Intelligent Systems, 9, 61, 10.1002/int.4550090105 Dubois, 1995, Fuzzy relation equations and causal reasoning, Fuzzy Sets and Systems, 75, 119, 10.1016/0165-0114(95)00105-T Dubois, 1997, A synthetic view of belief revision with uncertain inputs in the framework of possibility theory, Internat. J. Approx. Reason., 17, 295, 10.1016/S0888-613X(97)00019-4 Glymour, 1998, Learning causes, Minds and Machines, 8, 39, 10.1023/A:1008234330618 D. Heckerman, C. Meek, Models and selection criteria for regression and classification, Proc. 13th Conf. on Uncertainty in AI, Providence, 1997, pp. 223–228. Hisdal, 1978, Conditional possibilities independence and non-interaction, Fuzzy Sets and Systems, 1, 283, 10.1016/0165-0114(78)90019-2 J.R. Nail, C.S. Wallace, K.B. Korb, Learning Bayesian networks with restricted causal interactions, Proc. 15th Conf. on Uncertainty in AI, Stockholm, 1999, pp. 486–493. Pearl, 1986, Fusion, propagation, and structuring in belief networks, Artificial Intelligence, 29, 241, 10.1016/0004-3702(86)90072-X Pearl, 1988 Peng, 1987, A probabilistic causal model for diagnostic problem solving—Part I: integrating symbolic causal inference with numeric probabilistic inference, IEEE Trans. Systems, Man, Cybernet., SME-17, 146, 10.1109/TSMC.1987.4309027 Peng, 1990 Yamada, 1999, Conditional causal possibility and its application to inverse problem of causalities, J. Japan Soc. Fuzzy Theory Systems, 11, 104, 10.3156/jfuzzy.11.1_104 K. Yamada, Causal reasoning using conditional causal possibilities to express uncertainty of causalities, IFSA World Congress 99, Taipei (2) (1999) 665–669. K. Yamada, Causality consistency problem for two different possibilistic causal models, Internat. Symp. on Medical Informatics and Fuzzy Technology, 1999, Hanoi, pp. 182–189. K. Yamada, Possibilistic causality consistency problem with compound causal relationships, The 4th Asian Fuzzy Systems Symposium, Tsukuba, 2000, pp. 89–94. K. Yamada, M. Honda, A method of diagnosis using possibility theory, Proc. IEA-AIE 96, Fukuoka (1996) 149–154. Zadeh, 1978, Fuzzy sets as a basis for a theory of possibility, Fuzzy Sets and Systems, 1, 3, 10.1016/0165-0114(78)90029-5