Results 21 to 30 of about 148,425 (306)
Pengambilan Keputusan Multi Hesitant N-Soft Sets
In this article, we introduce a new hybrid model of -soft sets called multi hesitant -soft sets (MHNSS). The multi hesitant -soft sets is extention of -soft sets theory which is needed for multicriteria from some group decision makers.
Fatia Fatimah
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A new operation on soft sets: extended symmetric difference of soft sets [PDF]
Introduction/purpose: Molodtsov introduced the concept of soft sets as a new mathematical tool for dealing with problems containing uncertainties.
Nenad S. Stojanović
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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New generalization of fuzzy soft sets: $ (a, b) $-Fuzzy soft sets
Many models of uncertain knowledge have been designed that combine expanded views of fuzziness (expressions of partial memberships) with parameterization (multiple subsethood indexed by a parameter set).
Tareq M. Al-shami +2 more
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Weighted Neutrosophic Soft Sets [PDF]
In this paper we study the concept of neutrosophic soft sets. Imposing some weights on the parameters considered we introduce here weighted neutrosophic soft sets. Some operations like union, intersection, complement, AND, OR etc.
Pabitra Kumar Maji
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Medical diagnosis for the problem of Chikungunya disease using soft rough sets
One of the most difficulties that doctors face when diagnosing a disease is making an accurate decision to correctly determine the nature of the injury. This is attributable to the similarity of symptoms for different diseases.
Mostafa K. El-Bably +2 more
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Neutrosophic Fuzzy Soft BCK-submodules [PDF]
The target of this study is to apply the notion of neutrosophic soft sets to the theory of BCK-modules by introducing the notion of neutrosophic fuzzy soft BCK-submodules and deriving their basic properties.
R. S. Alghamdi , N. O. Alshehri
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A new approach of soft rough sets and a medical application for the diagnosis of Coronavirus disease
Rough set and soft set theories presents the mathematical foundations for studying decision making problems in different contexts. Some authors have established their own approaches regarding this theory, such as the "soft pre-rough approximation" and ...
José Sanabria +2 more
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AbstractThis article defines ranked soft sets and establishes their fundamental theory. This new model of uncertain knowledge is a non‐numerical yet powerful improvement of soft sets. The model relies on a qualitative improvement of the basic parameterized description posed by soft sets.
Gustavo Santos‐García +1 more
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Algebraic structures and lattice properties of hypergraph Pre-Rough sets [PDF]
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 +3 more
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