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Muundo Imara wa Markov — Uchanganuzi wa mnyororo wa Markov chini ya kutokuwa na uhakika wa uwezekano wa mpito

Muundo Imara wa Markov hutumia kanuni za uimara kwa minyororo ya Markov kwa kubadilisha uwezekano wa mpito wa sehemu moja na seti za kutokuwa na uhakika, kisha kuboresha dhidi ya matokeo mabaya zaidi. Hapo awali uliundwa kwa ajili ya michakato imara ya uamuzi wa Markov katika utafiti wa uendeshaji, hutumiwa popote viwango vya mpito vinapokadiriwa kwa kelele au vinakabiliwa na mabadiliko ya uhasama, kuhakikisha maamuzi yanabaki salama katika safu nzima ya kutokuwa na uhakika.

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Vyanzo

  1. Nilim, A., El Ghaoui, L. (2005). Robust control of Markov decision processes with uncertain transition matrices. Operations Research, 53(5), 780-798. DOI: 10.1287/opre.1050.0216
  2. Iyengar, G. N. (2005). Robust dynamic programming. Mathematics of Operations Research, 30(2), 257-280. DOI: 10.1287/moor.1040.0129

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Markov Model — Markov chain analysis under transition probability uncertainty. ScholarGate. https://scholargate.app/sw/simulation/robust-markov-model

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Imerejelewa na

ScholarGateRobust Markov Model (Robust Markov Model — Markov chain analysis under transition probability uncertainty). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/simulation/robust-markov-model · Seti ya data: https://doi.org/10.5281/zenodo.20539026