With increased energy demand, less new transmission, and open access, the power system is experiencing a much greater level of power transfer. These new requirements push the system to its limits for maximum economic benefit, while maintaining sufficient security margins that require online network analysis. A practical interconnected system can collapse due to a number of different limits being exceeded such as thermal, transient stability, and voltage stability. This paper provides a novel framework for extending conventional probabilistic reliability analysis to account for system stability limits. The proposed method includes transient and voltage stability issues in the adequacy assessment of a composite system. The main component of the method is an intelligent system, which is used to modify reliability indexes due to stability considerations. The intelligent system is a combination of neural network and fuzzy neural network. The method is examined on a practical case study.