Results 11 to 20 of about 5,264,827 (277)
Evolving single- and multi-model fuzzy classifiers with FLEXFIS-class [PDF]
[2] R. Santos, E. Dougherty, and J. A. Jaakko, “Creating fuzzy rules for image classification using biased data clustering,” in SPIE proceedings series (SPIE proc. ser.) International Society for Optical Engineering proceedings series.
Angelov, Plamen +2 more
core +5 more sources
Fixed Point Results in Orthogonal Neutrosophic Metric Spaces
Neutrosophy deals with neutrosophic logic, probability, and sets. Actually, the neutrosophic set is a generalization of the classical set, fuzzy set, and intuitionistic fuzzy set.
Umar Ishtiaq +5 more
doaj +1 more source
Binary Fuzzy Codes and Some Properties of Hamming Distance of Fuzzy Codes
In this paper, we discussed binary fuzzy codes over a vector space F2n by relating classical codes with the probability of a binary symmetric channel (BSC) for receiving a sent codeword correctly. We used the weight of error patterns between a received
Mezgebu Manmekto Gereme +2 more
doaj +1 more source
Study on Sugeno Probability Integral of γ-fuzzy Operator
As an indispensable branch of fuzzy mathematics, fuzzy probability integral is an important integral form that relies on fuzzy probability and fuzzy measure, and is also a powerful tool for studying fuzzy mathematics. Aiming at the definition and theorem
ZHAO Hui, SHAN Yunxiao, JIANG Xinge
doaj +1 more source
A Probability Integral on η-fuzzy Measure
For the study of relevant definitions and theorems of fuzzy integrals, a fuzzy measure is first defined; then a pair of optimized Einstein operators of the form are designed, which are λ-fuzzy quasiproduct operator and λ-fuzzy quasisum operator ...
CHANG Xin-qi, ZHAO Hui, WU Yang
doaj +1 more source
Some Studies in Hemirings by the Falling Fuzzy k-Ideals
In this article, we establish the idea of falling fuzzy k-ideals in hemirings through the falling shadow theory and fuzzy sets. We shall express the relations between fuzzy k-ideals and falling fuzzy k-ideals in hemirings.
R. Anjum +6 more
doaj +1 more source
Fuzzy and tile coding approximation techniques for coevolution in reinforcement learning [PDF]
PhDThis thesis investigates reinforcement learning algorithms suitable for learning in large state space problems and coevolution. In order to learn in large state spaces, the state space must be collapsed to a computationally feasible size and then ...
Tokarchuk, Laurissa Nadia
core +4 more sources
Several Limit Theorems on Fuzzy Quantum Space
The probability theory using fuzzy random variables has applications in several scientific disciplines. These are mainly technical in scope, such as in the automotive industry and in consumer electronics, for example, in washing machines, televisions ...
Viliam Ďuriš +2 more
doaj +1 more source
Fuzzy probability space and extension theorem
This paper deals with fundamental mathematical theory of fuzzy probability. As classical measure theory, fuzzy algebra, fuzzy \(\sigma\)- algebra and fuzzy probability, whose \(\sigma\)-additivity is characterized by the countable uncoincident fuzzy events and the operation \(\oplus\), are introduced.
Cheng, Shaozhong, Liu, Dsosu
openaire +2 more sources
Some Remarks on Fuzzy N-Normed Spaces [PDF]
It is shown that every fuzzy n-normed space naturally induces a locally convex topology, and that every finite dimensional fuzzy n-normed space is ...
Elagan, S.
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