The proceedings contain 86 papers. The topics discussed include: from fuzzy beliefs to goals; information entropy and co-entropy of crisp and fuzzy granulations; possibilistic linear programming in blending and transportation planning problem; measuring the interpretive cost in fuzzy logic computations; a fixed-point theorem for multi-valued functions with an application to multilattice-based logic programming; contexualized possibilistic networks with temporal framework for knowledge base reliability improvement; reconstruction of the matrix of casual dependencies for the fuzzy inductive reasoning method; derivative information from fuzzy models; the genetic development of uninorm-based neurons; using visualization tools to guide consensus in group decision making; reconstruction methods for incomplete fuzzy preference relations: a numerical comparison; web user profiling using fuzzy clustering; and exploring the application of fuzzy logic and data fusion mechanisms in QAS.
Masulli, D., Mitra, S., Pasi, G. (a cura di). (2007). Applications of Fuzzy Sets Theory. Springer-Verlag.
Applications of Fuzzy Sets Theory
PASI, GABRIELLA
2007
Abstract
The proceedings contain 86 papers. The topics discussed include: from fuzzy beliefs to goals; information entropy and co-entropy of crisp and fuzzy granulations; possibilistic linear programming in blending and transportation planning problem; measuring the interpretive cost in fuzzy logic computations; a fixed-point theorem for multi-valued functions with an application to multilattice-based logic programming; contexualized possibilistic networks with temporal framework for knowledge base reliability improvement; reconstruction of the matrix of casual dependencies for the fuzzy inductive reasoning method; derivative information from fuzzy models; the genetic development of uninorm-based neurons; using visualization tools to guide consensus in group decision making; reconstruction methods for incomplete fuzzy preference relations: a numerical comparison; web user profiling using fuzzy clustering; and exploring the application of fuzzy logic and data fusion mechanisms in QAS.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.