Mar 7, 2023 · Fuzzy logic is a way to argue with boolean predicates for which we only have a confidence value between 0 and 1 rather than a well defined truth value.
Sep 5, 2024 · Fuzzy logic is a way to argue with boolean predicates for which we only have a confidence value between 0 and 1 rather than a well defined ...
Here we will discuss a direct interpretation of fuzzy logic in terms of probability theory and more particularly in the Markov category. It interprets the ...
Fuzzy logic is a way to argue with boolean predicates for which we only have a confidence value between 0 and 1 rather than a well defined truth value. It is ...
Fuzzy logic is a way to argue with boolean predicates for which we only have a confidence value between 0 and 1 rather than a well defined truth value.
For denumerable spaces, a general integral representation of a crisp-valued possibility measure of fuzzy events in terms of extended m-Markov kernels and ...
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Jun 10, 2024 · This research presents a process for analyzing a hybrid microgrid's dependability using a fuzzy Markov model.
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Oct 16, 2023 · We provide a proof based on transfinite induction that every weak Markov kernel is equivalent to a Markov kernel.
Missing: Logic | Show results with:Logic
In probability theory, a Markov kernel is a map that in the general theory of Markov processes plays the role that the transition matrix does in the theory ...
Article "Fuzzy Logic and Markov Kernels" Detailed information of the J-GLOBAL is an information service managed by the Japan Science and Technology Agency ...