On three types of covering-based rough sets
Web28 de ago. de 2008 · Abstract: Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. For further studies on privacy protection, we … Web29 de dez. de 2012 · Zhu W, Wang FY (2006) A new type of covering rough sets. In IEEE IS, pp 444–449, 4–6 Sept 2006. Zhu W, Wang FY (2006) Relationships among three …
On three types of covering-based rough sets
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WebCovering-based rough sets are natural extensions of the classical rough sets by relaxing the partitions to coverings and have been applied for many ... Zhu, W., Wang, F.: On … WebAbstract. In this paper, three new types of fuzzy covering-based rough set models are proposed. First, the membership-degree-based fuzzy covering rough set is defined in …
WebAbstract. In this paper, six types of optimistic multi-covering rough set models and six types of pessimistic multi-covering rough set models are proposed in multi-covering approximation space. From three different points of views, relationships among multi-covering rough set models are deeply investigated. Web12 de mai. de 2006 · Rough sets, a technique of granular computing, deal with the vagueness and granularity in information systems. They are based on equivalence relations on a set, or equivalently, on a partition on the set. Covering is an extension of a partition and a more feasible concept for coping with incompleteness in information, thus the …
Web25 de fev. de 2024 · In this paper, we mainly construct three types of L-fuzzy β-covering-based rough set models and study the axiom sets, matrix representations and interdependency of these three pairs of L-fuzzy β ... Web12 de mai. de 2006 · Relationships among three types of covering rough sets Abstract: Rough sets, a technique of granular computing, deal with the vagueness and granularity …
WebCovering-based multigranulation fuzzy rough sets are a natural extension of the multigranulation rough sets by replacing crisp sets with fuzzy sets. Recently, the …
Web28 de ago. de 2008 · Abstract: Rough sets, a tool for data mining, deal with the vagueness and granularity in information systems. For further studies on privacy protection, we study a new type of covering-based rough sets. After presenting their basic properties, this paper explores the interdependency between the lower and upper approximation operations, … tssm narhe logoWeb11 de jul. de 2014 · The study of definable sets in various generalized rough set models would provide better understanding to these models. Some algebraic structures of all … phix tobacco cartridge doesnt workWebRough set theory is a useful tool for dealing with inexact, uncertain or vague knowledge of information systems. The core concepts of classical rough sets are lower and upper approximation operators based on equivalence relations. However, it is inefficient to compute the lower and upper approximations using set operations. Matrix is widely used … tss moeWeb1 de set. de 2024 · In this paper, three types of (philosophical, optimistic and pessimistic) multigranulation single valued neutrosophic (SVN) covering-based rough set models are presented, and these three models ... phixton rechargeable led flashlightWeb1 de abr. de 2024 · Furthermore, three new types of fuzzy covering-based rough set models as generalizations of Ma's models are first proposed in this paper. ... F. Wang, On three types of covering rough sets, IEEE Trans. Knowl. Data Eng., 19 (2007) 1131-1144. Google Scholar Digital Library; tss modify statusWeb20 de ago. de 2013 · However, it is noticeable that MGRS theory cannot be applied in multi-source information systems with a covering environment in the real world. To address this issue, we firstly present in this paper three types of covering based multigranulation rough sets, in which set approximations are defined by different covering … tssmooth ma命令Web30 de out. de 2024 · In this paper, three new types of fuzzy covering-based rough set models are proposed. First, the membership-degree-based fuzzy covering rough set is defined in the fuzzy covering approximation space by separately comparing the membership degree of each object belonging to the approximated fuzzy set with those of … tssmooth ma stata