Results 21 to 30 of about 58,797 (306)

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

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, Muhammad I. Ali, El-Sayed A. Abo-Tabl   +2 more
doaj   +1 more source

A Note on Graded Granular Rough Sets

, 2021
FRSA International Conference on Zdislaw Pawlak's 95th Birth Anniversary, November 2021. Abstract: Of the many generalizations of rough sets in the literature, graded rough sets are among the most controversial.
A MANI
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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

Algebraic structures and lattice properties of hypergraph Pre-Rough sets‎ [PDF]

Mathematics and Computational Sciences
The study introduces and examines the concept of hypergraph pre-rough sets, which are developed by combining minimum soft descriptions with hypergraph structures.
Ganesan Gomathi, Peer Mohaideen Miya Fathima Benazir, Shriram Kalathian, Subbaraj Marichamy   +3 more
doaj   +1 more source

Autonomous clustering using rough set theory [PDF]

, 2008
This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
Chandra Kambhampati, Charlotte Bean, Kambhampati, Chandra, Bean, Charlotte   +3 more
core   +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, Altassan Alaa, Aydi Hassen, Özel Cenap   +3 more
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Fuzzy-rough set models and fuzzy-rough data reduction

Croatian Operational Research Review, 2020
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduced as a fuzzy generalization of rough sets. This paper reviewed the most important contributions to the rough set theory, fuzzy rough set theory and their
Hassan Mishmast Nehi, Alireza Mansouri Ghroutkhar   +1 more
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Rough Neutrosophic Sets [PDF]

, 2013
Both neutrosophic sets theory and rough sets theory are emerging as powerful tool for managing uncertainty, indeterminate, incomplete and imprecise information. In this paper we develop an hybrid structure called rough neutrosophic sets and studied their
Florentin Smarandache, Mamoni Dhar, Broumi, Sadi, Dhar, Manomi, Dhar, Mamoni, Said Broumi, Smarandache, Florentin, Broumi, Said   +7 more
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Soft Rough Approximation Operators and Related Results

Journal of Applied Mathematics, 2013
Soft set theory is a newly emerging tool to deal with uncertain problems. Based on soft sets, soft rough approximation operators are introduced, and soft rough sets are defined by using soft rough approximation operators.
Zhaowen Li, Bin Qin, Zhangyong Cai
doaj   +1 more source