the concept of soft sets, introduced by molodtsov [20] is a mathematicaltool for dealing with uncertainties, that is free from the difficultiesthat have troubled the traditional theoretical approaches. in this paper, weapply the notion of the soft sets of molodtsov to the theory of hilbert algebras.the notion of soft hilbert (abysmal and deductive) algebras, soft subalgebras,soft abysms and sof...

Mammogram images classification using data mining methods review on past literature showed that these methods are relatively successful however accuracy and efficiency are still outstanding issues. Therefore, the positive reviews produced from past works on fuzzy soft set based classification have resulted in an attempt to use similarity approach on fuzzy soft set for mammogram images classific...

Texture can be considered as a repeating pattern of local variation of pixel intensities. In texture classification the goal is to assign an unknown sample image to a set of known texture classes. One of the difficulties in texture classification was the lack of tools that characterize textures. Classification of textures has received attention during last few decades. As DCT works on gray leve...

For dealing with uncertainties researchers introduced the concept of soft sets. Georgiou et al. [10] defined several basic notions on soft θ-topology and they studied many properties of them. This paper continues the study of the theory of soft θ-topological spaces and presents for this theory new definitions, characterizations, and results concerning soft θ-boundary, soft θ-exterior, soft θ-ge...

The notion of union-soft filters of a CI-algebra is introduced, and related properties are investigated. Characterization of a union-soft filter is discussed, and conditions for a soft set to be a union-soft filter are provided. New union-soft filter from old one is established. Mathematics Subject Classification: 06F35, 03G25, 06D72