Dynamic fuzzy problem are problems that are universally focused by academies. Mathematicians and cybernetic experts have used fuzzy logic to developed theories and solve static problems in so called subjective and objective worlds. This book includes 12 chapters. Chapter 1 is about basic conceptions of Dynamic Fuzzy Sets (DFS). Chapter 2 introduces Dynamic Fuzzy (DF) decomposition theorem. Chapter 3 is about L form of DFS module structure. Chapter 4 is about representation theorem of DFS. Chapter 5 introduces extension theorem of DFS. Chapter 6 is about DF measure theory. In chapter 7 it is Dynamic Fuzzy Logic (DFL). Chapter 8 is about reasoning methods of DFL. Chapter 9 is about bases of DFL programming language. Chapter 10 introduces multi-agent learning model based on DFL. Chapter 11 is about autonomic computing model based on DFL. The last Chapter introduces application of DFL in machine learning.S, (lalt;ialt;n) is a service provided by Ap, and the dynamic fuzzy value of (w, , wi ) is the weight of Si, which is used to express ... Given a predicate SerAccess(Ei, Sik, Ej)( Sik e EntitySerSet(E, )) that is true if only if Eja#39;s services are required for Slk toanbsp;...

Title | : | Dynamic Fuzzy Logic and Its Applications |

Author | : | Fanzhang Li |

Publisher | : | Nova Publishers - 2008 |

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