Formalizing the informal, precisiating the imprecise: How fuzzy logic can help mathematicians and physicists by formalizing their intuitive ideas
暂无分享,去创建一个
[1] V. Kreinovich,et al. Fundamental physical equations can be derived by applying fuzzy methodology to informal physical ideas , 2011, 2011 Annual Meeting of the North American Fuzzy Information Processing Society.
[2] Timothy J. Ross,et al. Fuzzy Logic with Engineering Applications: Ross/Fuzzy Logic with Engineering Applications , 2010 .
[3] Vladik Kreinovich,et al. Soft Computing Explains Heuristic Numerical Methods in Data Processing and in Logic Programming , 1997 .
[4] Hung T. Nguyen,et al. A First Course in Fuzzy Logic , 1996 .
[5] George J. Klir,et al. Fuzzy sets and fuzzy logic - theory and applications , 1995 .
[6] T. Ross. Fuzzy Logic with Engineering Applications , 1994 .
[7] M. D. Castillo-Mussot,et al. Fuzzy sets and physics , 1993 .
[8] V. Kreinovich,et al. Inverse problems: Fuzzy representation of uncertainty generates a regularization , 1992 .
[9] V. Kreinovich,et al. Gaussian membership functions are most adequate in representing uncertainty in measurements , 1992 .
[10] R. Leighton,et al. Feynman Lectures on Physics , 1971 .
[11] J. Aczél,et al. Lectures on Functional Equations and Their Applications , 1968 .
[12] Lotfi A. Zadeh,et al. Fuzzy Sets , 1996, Inf. Control..
[13] A. Akhiezer,et al. QUANTUM ELECTRODYNAMICS. , 1965 .
[14] R. Stephenson. A and V , 1962, The British journal of ophthalmology.