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• W2080856822 abstract "The problem of deriving the structure of a non-deterministic system from its behavior is a difficult one even when that behavior is itself well-defined. When the behavior can be described only in fuzzy terms structural inference may appear virtually impossible. However, a rigorous formulation and solution of the problem for stochastic automata has recently been given [1] and, in this paper, the results are extended to fuzzy stochastic automata and grammars. The results obtained are of interest on a number of counts, (1) They are a further step towards an integrated 'theory of uncertainty'; (2) They give new insights into problems of inductive reasoning and processes of 'precisiation'; (3) They are algorithmic and have been embodied in a computer program that can be applied to the modelling of sequential fuzzy data." @default.
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• W2080856822 date "1977-12-01" @default.
• W2080856822 modified "2023-09-25" @default.
• W2080856822 title "Sequential fuzzy system identification" @default.
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• W2080856822 doi "https://doi.org/10.1109/cdc.1977.271770" @default.
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