Results 11 to 20 of about 6,352,554 (347)
Rough soft sets and rough soft groups [PDF]
Journal of Hyperstructures, 2013 In this paper we discuss some basic properties of rough soft sets and hence we introduce the notion of rough soft group. Basic properties of rough soft group are presented and supported by some illustrative examples.
Jayanta Ghosh, T. K. Samanta
doaj +1 more source
International Journal of Computational Intelligence Systems, 2014 Rough set theory gives approximation models of complex knowledge structure. Agents are not present in the definition of the rough sets. Now we will show that a set of conflicting agents or active set can be used to model inconsistent decision in rough ...
Germano Resconi, Chris Hinde
doaj +1 more source
Algebraic structures and lattice properties of hypergraph Pre-Rough setsโ [PDF]
Mathematics and Computational SciencesThe study introduces and examines the concept of hypergraph pre-rough sets, which are developed by combining minimum soft descriptions with hypergraph structures.
Ganesan Gomathi +3 more
doaj +1 more source
Soft pre-rough sets and its applications in decision making
Mathematical Biosciences and Engineering, 2020 Soft rough set model represents a different mathematical model to which many real-life data can be connected. In fact, this theory represents a link between soft set and rough set theories.
M. El Sayed +2 more
doaj +1 more source
New Topological Approaches to Generalized Soft Rough Approximations with Medical Applications
Journal of Mathematics, 2021 There are many approaches to deal with vagueness and ambiguity including soft sets and rough sets. Feng et al. initiated the concept of possible hybridization of soft sets and rough sets.
Mostafa K. El-Bably +2 more
doaj +1 more source
Symmetry, 2020 The concept of linear Diophantine fuzzy sets (LDFSs) is a new approach for modeling uncertainties in decision analysis. Due to the addition of reference or control parameters with membership and non-membership grades, LDFS is more flexible and reliable ...
M. Riaz +4 more
semanticscholar +1 more source
Rough quotient in topological rough sets
Open Mathematics, 2019 In this paper, we introduce a rough quotient. Also, we present conditions ensuring that G/H are partitions of G. The rough projection map is also presented. We discuss first, second and third rough isomorphism theorems and other related results.
Alharbi Nof +3 more
doaj +1 more source
Label-based Approach for Dynamic Updating Approximations in Incomplete Fuzzy Probabilistic Rough Sets over Two Universes [PDF]
Jisuanji kexue, 2022 When the missing values are obtained in incomplete fuzzy probabilistic rough sets over two universes,the time efficiency of the traditional static algorithm for updating approximations in incomplete fuzzy probabilistic rough sets over two universes is ...
XUE Zhan-ao, HOU Hao-dong, SUN Bing-xin, YAO Shou-qian
doaj +1 more source
(๐, ๐ฃ) โStandard neutrosophic rough set and its topologies properties [PDF]
Neutrosophic Sets and Systems, 2016 In this paper, we defined (๐, ๐ฃ) โ standard neutrosophic rough sets based on an implicator ๐ and a tnorm ๐ฃ on ๐ซโ ; lower and upper approximations of standard neutrosophic sets in a standard neutrosophic approximation are defined.
Nguyen Xuan Thao, Florentin Smarandache
doaj +1 more source
Distributed Feature Selection for Big Data Using Fuzzy Rough Sets
IEEE transactions on fuzzy systems, 2020 Fuzzy rough-set-based feature selection is an important technique for big data analysis. However, the classic fuzzy rough set algorithm takes all the data correlations into account, which leads to the centralized computing mode, requiring high computing ...
L. Kong +8 more
semanticscholar +1 more source