Results 21 to 30 of about 126,642 (284)
p-Regularity and p-Regular Modification in ⊤-Convergence Spaces
Fuzzy convergence spaces are extensions of convergence spaces. ⊤-convergence spaces are important fuzzy convergence spaces. In this paper, p-regularity (a relative regularity) in ⊤-convergence spaces is discussed by two equivalent approaches. In addition,
Qiu Jin, Lingqiang Li, Guangming Lang
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Convergence Classes of L-Filters in L,M-Fuzzy Topological Spaces
An L,M-fuzzy topological convergence structure on a set X is a mapping which defines a degree in M for any L-filter (of crisp degree) on X to be convergent to a molecule in LX.
Ting Yang +4 more
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p-Topologicalness—A Relative Topologicalness in ⊤-Convergence Spaces
In this paper, p-topologicalness (a relative topologicalness) in ⊤-convergence spaces are studied through two equivalent approaches. One approach generalizes the Fischer’s diagonal condition, the other approach extends the Gähler’s ...
Lingqiang Li
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A NEW APPROACH TO EGOROV’S THEOREM BY MEANS OF 𝛼𝛽-STATISTICAL IDEAL CONVERGENCE
In this work, we introduce the 𝛼𝛽-statistical pointwise ideal convergence, 𝛼𝛽-statistical uniform ideal convergence, and 𝛼𝛽-equi-statistical ideal convergence for sequences of fuzzy-valued functions.
Sonali Sharma, Kuldip Raj
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New methods for the estimation of Takagi-Sugeno model based extended Kalman filter and its applications to optimal control for nonlinear systems [PDF]
This paper describes new approaches to improve the local and global approximation (matching) and modeling capability of Takagi–Sugeno (T-S) fuzzy model. The main aim is obtaining high function approximation accuracy and fast convergence. The main problem
Al-Hadithi, Basil M. +2 more
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Convergence theorem for fuzzy martingales
Fuzzy-valued measures and their relationship to fuzzy random variables are studied. The concept of conditional expectation for fuzzy random variable is proposed. The authors prove the Radon-Nikodym theorem in this setting and a convergence theorem for fuzzy martingale.
Puri, Madan L, Ralescu, Dan A
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Statistical convergence on L−fuzzy normed space
In this paper, we study the concept of statistical convergence on L?fuzzy normed spaces. Then we give a useful characterization for statistically convergent sequences. Furthermore, we illustrate that our method of convergence is more general than the usual convergence on L?fuzzy normed spaces.
Yapalı, R., Çoşkun, H., Gürdal, U.
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We define weighted geometric mean method of convergence for sequences in [Formula: see text] by using multiplicative calculus and obtain necessary and sufficient conditions under which convergence of sequences in [Formula: see text] follows from ...
Enes Yavuz
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Adaptive particle swarm optimization [PDF]
An adaptive particle swarm optimization (APSO) that features better search efficiency than classical particle swarm optimization (PSO) is presented. More importantly, it can perform a global search over the entire search space with faster convergence ...
Henry Shu-hung Chung +6 more
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Almost uniformly convergence on MV-algebra of intuitionistic fuzzy sets [PDF]
The aim of this contribution is to formulate some definitions of almost uniformly convergence for a sequence of observables in the MV-algebra of the intuitionistic fuzzy sets.
Katarína Čunderlíková
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