TY - CHAP A1 - Gabor Szucs A2 - Gyula Sallai ED1 - Ahmed Rebai Y1 - 2010-08-18 PY - 2010 T1 - Joining Analytic Network Process and Bayesian Network Model for Fault Spreading Problem N2 - Bayesian networks are a very general and powerful tool that can be used for a large number of problems involving uncertainty: reasoning, learning, planning and perception. They provide a language that supports efficient algorithms for the automatic construction of expert systems in several different contexts. The range of applications of Bayesian networks currently extends over almost all fields including engineering, biology and medicine, information and communication technologies and finance. This book is a collection of original contributions to the methodology and applications of Bayesian networks. It contains recent developments in the field and illustrates, on a sample of applications, the power of Bayesian networks in dealing the modeling of complex systems. Readers that are not familiar with this tool, but have some technical background, will find in this book all necessary theoretical and practical information on how to use and implement Bayesian networks in their own work. There is no doubt that this book constitutes a valuable resource for engineers, researchers, students and all those who are interested in discovering and experiencing the potential of this major tool of the century. BT - Bayesian Network SP - Ch. 12 UR - https://doi.org/10.5772/intechopen.83971 DO - 10.5772/intechopen.83971 SN - PB - IntechOpen CY - Rijeka Y2 - 2022-05-23 ER -