Results 241 to 250 of about 164,476 (314)
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TOLERANCE APPROXIMATION SPACES
Fundamenta Informaticae, 1996We generalize the notion of an approximation space introduced in [8]. In tolerance approximation spaces we define the lower and upper set approximations. We investigate some attribute reduction problems for tolerance approximation spaces determined by tolerance information systems. The tolerance relation defined by the so called uncertainty function or
Skowron, Andrzej, Stepaniuk, Jaroslaw
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Information Sciences, 2019
The applications of nanomaterials in biomedicine have received increasing attentions. Therefore, how to choose the most suitable material among a variety of bio-nanomaterials with similar properties is a significant problem.
Kai Zhang, J. Zhan, Yiyu Yao
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The applications of nanomaterials in biomedicine have received increasing attentions. Therefore, how to choose the most suitable material among a variety of bio-nanomaterials with similar properties is a significant problem.
Kai Zhang, J. Zhan, Yiyu Yao
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General Relativity and Gravitation, 1977
We show how, for a wide class of asymptotically flat space-times, it is possible to solve the equation for asymptotically shear-free complex null cones (the good-cut equation) to first approximation, and thereby obtain first-order ℋ spaces and associated firstorder asymptotic projective twistor spaces.
E. T. Newman, K. P. Tod
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We show how, for a wide class of asymptotically flat space-times, it is possible to solve the equation for asymptotically shear-free complex null cones (the good-cut equation) to first approximation, and thereby obtain first-order ℋ spaces and associated firstorder asymptotic projective twistor spaces.
E. T. Newman, K. P. Tod
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Covering rough set structures for a locally finite covering approximation space
Information Sciences, 2019The purpose of this paper is to introduce the notion of locally finite covering approximation (LFC-, for brevity) space (U, C) which is a generalization of a (finite) covering approximation space. Furthermore, for a subset X of the universe U, we develop
Sang-Eon Han
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Soft Nearness Approximation Spaces
Fundamenta Informaticae, 2013In 1999, Molodtsov introduced the theory of soft sets, which can be seen as a new mathematical approach to vagueness. In 2002, near set theory was initiated by J. F. Peters as a generalization of Pawlak's rough set theory. In the near set approach, every perceptual granule is a set of objects that have their origin in the physical world.
Öztürk, Mehmet Ali, Ịnan, Ebubekir
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Three-way Decisions with Rough Membership Functions in Covering Approximation Space
Fundamenta Informaticae, 2019Rough membership functions in covering approximation space not only give numerical characterizations of covering-based rough set approximations, but also establish the relationship between covering-based rough sets and fuzzy covering-based rough sets. In
Bingqiao Yang, B. Hu, Junsheng Qiao
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Lipschitz approximable Banach spaces
Commentationes Mathematicae Universitatis Carolinae, 2020It is shown that a separable Banach space with the bounded compact approximation property is Lipschitz-approximable. Using known examples one deduces that there is a Lipschitz-approximable reflexive separable Banach space which fails the approximation property.
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Space-Bounded Query Approximation
2015When dealing with large amounts of data, exact query answering is not always feasible. We propose a query approximation method that, given an upper bound on the amount of data that can be used (i.e., for which query evaluation is still feasible), identifies a part C of the data D that (i) fits in the available space budget; and (ii) provides accurate ...
Cule, Boris +2 more
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Fuzzy β-covering approximation spaces
International Journal of Approximate Reasoning, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Xiaohong, Wang, Jingqian
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Constrained Approximation in Sobolev Spaces
Canadian Journal of Mathematics, 1997AbstractPositive, copositive, onesided and intertwining (co-onesided) polynomial and spline approximations of functions are considered. Both uniform and pointwise estimates, which are exact in some sense, are obtained.
Hu, Y. K., Kopotun, K. A., Yu, X. M.
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