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Decision Making in Fuzzy Rough Set Theory [PDF]
Mathematics, 2023 Decision rules are powerful tools to manage information and to provide descriptions of data sets; as a consequence, they can acquire a useful role in decision-making processes where fuzzy rough set theory is applied.
Fernando Chacón-Gómez +2 more
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On the neutrosophic soft set with rough set theory. [PDF]
Soft comput, 2021 Rough set is a very powerful invention to the whole world for dealing with uncertain, incomplete and imprecise problems. Also soft set theory and neutrosophic set theory are advance mathematical tools to handle these uncertain, incomplete, inconsistent information in a better way.
Das M, Mohanty D, Parida KC.
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A novel approach based on rough set theory for analyzing information disorder. [PDF]
Appl Intell (Dordr), 2023 Gaeta A, Loia V, Lomasto L, Orciuoli F.
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Oppositions in Rough Set Theory [PDF]
, 2012 The role of opposition in rough set theory is laid bare. There are two sources which generate oppositions in rough sets: approximations and relations. In the former case, we outline a hexagon and a cube of oppositions. In the second case, we define a classical square of oppositions and also a tetrahedron when considering the standpoint of two agents.
CIUCCI, DAVIDE ELIO +2 more
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Approximate Reaction Systems Based on Rough Set Theory [PDF]
Rough SetsInternational Joint Conference, 2020 Campagner A, Ciucci D, Dorigatti V.
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Evaluation of Xiashu loess slope stability in Zhenjiang area using different methods
Zhongguo 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
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Roughness in Fuzzy Cayley Graphs
Қарағанды университетінің хабаршысы. Математика сериясы, 2023 Rough set theory is a worth noticing approach for inexact and uncertain system modelling. When rough set theory accompanies with fuzzy set theory, which both are a complementary generalization of set theory, they will be attended by potency in ...
M.H. Shahzamanian, B. Davvaz
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Rough sets theory and its extensions for attribute reduction: a review [PDF]
Big Data and Computing Visions, 2021 The rough sets theory is a mathematical tool to express vagueness by means of boundary region of a set. The main advantage of this implementation of vagueness is that it requires no human input or domain knowledge other than the given data set.
Sadegh Eskandari
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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 +1 more
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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
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