Results 241 to 250 of about 105,555 (262)
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Journal of Intelligent & Fuzzy Systems, 2018
Single-valued neutrosophic hesitant fuzzy sets (SVNHFSs) have recently become a subject of great interest for researchers, and have been applied widely to multi-criteria decision-making (MCDM) problems. In this paper, the single-valued neutrosophic hesitant fuzzy geometric weighted Choquet integral Heronian mean operator, which is based on the Heronian
Peng, Juan-juan +3 more
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Single-valued neutrosophic hesitant fuzzy sets (SVNHFSs) have recently become a subject of great interest for researchers, and have been applied widely to multi-criteria decision-making (MCDM) problems. In this paper, the single-valued neutrosophic hesitant fuzzy geometric weighted Choquet integral Heronian mean operator, which is based on the Heronian
Peng, Juan-juan +3 more
openaire +1 more source
Weighted integral inequalities for Hardy and geometric mean operators with kernels over cones in R^n
Italian journal of pure and applied mathematics, 2005In this paper we prove criteria for boundedness of a general multidimensional Hardy-type integral operator with an Oinarov kernel and of the related limiting geometric mean operator between two Lebesgue spaces. The integrals are taken over cones in R^n with the origin as a vertex.
Čižmešija, Aleksandra +2 more
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Linear and Multilinear Algebra, 2017
In this paper, we consider the quadratic weighted geometric meanfor bounded linear operators T, V in the Hilbert space H with T invertible and .
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In this paper, we consider the quadratic weighted geometric meanfor bounded linear operators T, V in the Hilbert space H with T invertible and .
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Advances in Nonlinear Variational Inequalities
Neutrosophic cubic fuzzy sets (NCFSs) involve interval-valued and single-valued neutrosophic sets and are used to describe uncertainty or fuzziness more efficiently. The aggregation of neutrosopic cubic fuzzy information is crucial and necessary in a decision-making theory. To get a better solution to decision-making problems under a neutrosophic cubic
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Neutrosophic cubic fuzzy sets (NCFSs) involve interval-valued and single-valued neutrosophic sets and are used to describe uncertainty or fuzziness more efficiently. The aggregation of neutrosopic cubic fuzzy information is crucial and necessary in a decision-making theory. To get a better solution to decision-making problems under a neutrosophic cubic
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Further inequalities involving the weighted geometric operator mean and the Heinz operator mean
Linear and Multilinear Algebra, 2022Ibrahim A Al-Subaihi +1 more
exaly
Power-Geometric Operators and Their Use in Group Decision Making
IEEE Transactions on Fuzzy Systems, 2010Zeshui Xu, Ronald R Yager
exaly
Some q-rung orthopair fuzzy Heronian mean operators in multiple attribute decision making
International Journal of Intelligent Systems, 2018Hui Gao, Yu Wei
exaly
The continuous ordered weighted geometric operator and its application to decision making
Fuzzy Sets and Systems, 2006Zeshui Xu
exaly

