The problem of periodicity for a non-homogeneous Markov model in a stochastic environment is studied. The stochastic concept is established through the notion of optional scenarios applied on the transition process. It is proved that the sequence of so-called aggregate structures follows a certain p
Partial maintainability of a population model in a stochastic environment
โ Scribed by Tsantas, N. ;Georgiou, A. C.
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 95 KB
- Volume
- 13
- Category
- Article
- ISSN
- 8755-0024
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โฆ Synopsis
We consider a non-homogeneous Markov system in a stochastic environment. Concepts of recruitment control are empoyed in order to study the probabilities of partially maintaining population structures under this establishment. Two conditions taken from the deterministic case of the partial control problem are further refined, providing the basis of the calculation of these probabilities. The stochastic environment is realized by pools of alternative transitions. Expected regions of partial maintainability are determined through the alternative transition policies calculated by a selection mechanism, the compromise Markov chain.
๐ SIMILAR VOLUMES
We consider the classic Bellman and Zadeh multistage control problem under fuzzy constraints imposed on applied controls and fuzzy goals imposed on attained states with a stochastic system under control that is assumed to be a Markov chain. An optimal sequence of controls is sought that maximizes th