AHP and ANP as Particular Cases of Markov Chains

The models and methods of AHP/ANP analysis are considered. It is shown that AHP/ANP models are the particular cases of finite Markov chains, i.e. discrete random processes with Markov property. Applying models, methods and algorithms of Markov chains theory will stimulate the progress in researches on multicriteria decision making problems and its application in various spheres and particularly in investment planning and management. A new approach to sensitivity analysis in intervals of uncertainty of data is proposed.