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pro vyhledávání: '"Bagirmaz, Nurettin"'
Rough set theory is an important mathematical tool for dealing with uncertain or vague information. This paper studies some new topologies induced by a binary relation on universe with respect to neighborhood opera- tors. Moreover, the relations amon
Externí odkaz:
http://arxiv.org/abs/1405.5493
Autor:
Bagirmaz, Nurettin
WOS: 000432426000014
In this paper, we introduced the notion of near subsemigroups, near ideals, near bi-ideals and homomorphisms of near semigroups on near approximation spaces. Then we give some properties of these near structures.
In this paper, we introduced the notion of near subsemigroups, near ideals, near bi-ideals and homomorphisms of near semigroups on near approximation spaces. Then we give some properties of these near structures.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4865::c5514c5ccf9acc1e3c422c98dc1db99a
https://hdl.handle.net/20.500.12514/1285
https://hdl.handle.net/20.500.12514/1285
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Autor:
Nurettin Bağırmaz, Hatice Taşbozan
Publikováno v:
JP Journal of Algebra, Number Theory and Applications. 42:77-83
WOS: 000464544500007
Rough set theory proposes a new mathematical approach to model vagueness. In this paper, we introduce a new definition for rough approximations with respect to the subgroups of a group, which is called the left (right) lower
Rough set theory proposes a new mathematical approach to model vagueness. In this paper, we introduce a new definition for rough approximations with respect to the subgroups of a group, which is called the left (right) lower
Publikováno v:
Filomat. 31:4117-4125
WOS: 000416113900012
Near set theory presents a fundamental basis for observation, comparison and classification of perceptual granules. Soft set theory is proposed as a general framework to model vagueness. The purpose of this paper is to combi
Near set theory presents a fundamental basis for observation, comparison and classification of perceptual granules. Soft set theory is proposed as a general framework to model vagueness. The purpose of this paper is to combi