In this study extending classical Markov chain theory to handle fluctuating transition matrices, the author develops a theory of Markov set-chains and provides numerous examples showing how that theory can be applied. Chapters are concluded with a discussion of related research. Readers who can benefit from this monograph are those interested in, or involved with, systems whose data is imprecise or that fluctuate with time. A background equivalent to a course in linear algebra and one in probability theory should be sufficient.
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978-3-540-68711-5 (9783540687115)
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Stochastic matrices and their variants.- to Markov set-chains.- Convergence of Markov set-chains.- Behavior in Markov set-chains.
