Fuzzy logic programming/Bibliography


 * Baldwin J.F., Martin T.P., Pilsworth B.W., Fril: Fuzzy and Evidential Reasoning in Arti-cial Intelligence, Wiley, New York, 1995.
 * Biacino L., Gerla G., Ying M. S.: Approximate reasoning based on similarity, Math. Log. Quart., 46 (2000), 77-86.
 * Dubois D., Prade H., What are fuzzy rules and how to use them, Fuzzy Sets and Systems, 84 (1996) pp. 169-185.
 * Gerla G., Fuzzy Logic Programming and fuzzy control, Studia Logica, 79 (2005) 231-254.
 * Fitting M., Bilattices and semantics of logic programming, Journal of Logic Programming, 11 (1991) pp. 91-116.
 * Formato F., Gerla G., Sessa M., Similarity-based unification, Fundamenta Informaticae, 41 (2000), 393-414.
 * Lee R.C.T., Fuzzy logic and the resolution principle, J. Assoc. Comput. Mach. 19 (1) (1972) 119–129.
 * Vojtas P., Fuzzy logic programming, Fuzzy Sets and Systems, 124 (2001) pp. 361-370.
 * Vojtas P., Many valued logic programming handling uncertainty in AI, Proceedings of LACS, Warsawa, 1966.
 * Ying M. S., A logic for approximate reasoning, J. Symbolic Logic, 59 (1994).