The set of limiting distributions for a Markov chain with fuzzy transition probabilities

DOI10.1016/0165-0114(82)90041-0zbMath0468.60065OpenAlexW2079351843MaRDI QIDQ1156428

Robert E. Stanford

Publication date: 1982

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0165-0114(82)90041-0

zbMATH Keywords

ergodic theoremslimiting distributionspoint-to-set mappingsfuzzy probabilitiesfuzzy transition probabilities

Mathematics Subject Classification ID

Markov chains (discrete-time Markov processes on discrete state spaces) (60J10) Fuzzy sets and logic (in connection with information, communication, or circuits theory) (94D05)

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Cites Work

• Products of independent identically distributed stochastic matrices
• Positive columns for stochastic matrices
• On sets of countable non-negative matrices and Markov decision processes
• Optimal decision procedures for finite Markov chains. Part II: Communicating systems
• Markovian Decision Processes with Uncertain Transition Probabilities
• Linear and Nonlinear Separation of Patterns by Linear Programming
• Products of Random Matrices
• Perturbation theory and finite Markov chains
• Approximate Stationary Probability Vectors of a Finite Markov Chain
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