Results 21 to 30 of about 156,977 (313)

Evaluation of Xiashu loess slope stability in Zhenjiang area using different methods

open access: yesZhongguo dizhi zaihai yu fangzhi xuebao, 2021
Slope instability is the result of the continuous evolution of the interaction of geological environment conditions in a certain area, so many factors should be considered when evaluating the stability of a slope. In this paper, the influence factors and
Jingjing QU   +4 more
doaj   +1 more source

Picture Fuzzy Rough Set and Rough Picture Fuzzy Set on Two Different Universes and Their Applications

open access: yesJournal of Mathematics, 2020
The major concern of this article is to propose the notion of picture fuzzy rough sets (PFRSs) over two different universes which depend on δ,ζ,ϑ-cut of picture fuzzy relation ℛ on two different universes (i.e., by combining picture fuzzy sets (PFSs ...
Dliouah Ahmed, Binxiang Dai
doaj   +1 more source

The Structure of Multigranular Rough Sets [PDF]

open access: yesFundamenta Informaticae, 2020
We study multigranulation spaces of two equivalences. The lattice-theoretical properties of so-called “optimistic” and “pessimistic” multigranular approximation systems are given. We also consider the ordered sets of rough sets determined by these approximation pairs.
Jouni Järvinen, Sándor Radeleczki
openaire   +3 more sources

Interval Neutrosophic Rough Set [PDF]

open access: yesNeutrosophic Sets and Systems, 2015
This Paper combines interval- valued neutrouphic sets and rough sets. It studies roughness in interval- valued neutrosophic sets and some of its properties.
Said Broumi, Florentin Smarandache
doaj  

New Rough Set Approximation Spaces

open access: yesAbstract and Applied Analysis, 2013
Rough set theory was introduced by Pawlak in 1982 to handle imprecision, vagueness, and uncertainty in data analysis. Our aim is to generalize rough set theory by introducing concepts of -lower and -upper approximations which depends on the concept of ...
H. M. Abu-Donia
doaj   +1 more source

Spherical Fuzzy Soft Rough Average Aggregation Operators and Their Applications to Multi-Criteria Decision Making

open access: yesIEEE Access, 2022
The objective of this article is to explore and generalize the notions of soft set and rough set along with spherical fuzzy set and to introduce the novel concept called spherical fuzzy soft rough set that is free from all those complications faced by ...
Leina Zheng   +4 more
doaj   +1 more source

Full Rough Sets [PDF]

open access: yesAnnals of Computer Science and Information Systems, 2014
I will analyze Pawlak’s rough sets and extend the usual setting of characterization via an equivalence relation to any arbitrary relation, or a full relation. I extract the specification of rough sets by two operators: probable operator and sure operator.
openaire   +2 more sources

The Lattice of Rough Subsets of a Rough Set. The Category of Rough Sets

open access: yesDemonstratio Mathematica, 1997
The paper deals with algebraic structures related to rough sets, introduced by Pawlak in 1982. It is proved that the lattice of all rough subsets of a given rough set is a complete Heyting algebra. Necessary and sufficient conditions for the above lattice to be a Boolean algebra are presented.
openaire   +2 more sources

Rough Set Theory

open access: yes, 2008
Rough set theory (RST), since its introduction in Pawlak (1982), continues to develop as an effective tool in classification problems and decision support. In the majority of applications using RST based methodologies, there is the construction of ‘if ..
Beynon, Malcolm James, Malcolm J. Beynon
core   +1 more source

Properties and Approximation Distribution Reductions in Multigranulation Rough Set Model

open access: yes, 2017
Some properties of approximation sets are studied in multi-granulation optimist model in rough set theory using maximal compatible classes. The relationships between or among lower and upper approximations in single and multiple granulation are compared ...
Properties and Approximation Distribution Reductions in Multigranulation Rough Set Model
core   +1 more source

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