  Continuous Time Markov Chain (CMTC) is widely used to describe and analyze
systems in several knowledge areas. Steady state availability is one important
analysis that can be made through Markov chain formalism that allows
researchers generate equations for several purposes, such as channel capacity
estimation in wireless networks as well as system performance estimations. The
problem with this kind of analysis is the complex process to generating these
equations. In this letter, we have developed general equations for decision and
sequential processes of CMTC Models, aiming to help researchers to develop
steady state availability equations. We also have developed the general
equation here termed as Closed Decision Process.
