Bonferroni mean with weighted interaction
WebOct 24, 2024 · First, the shortcomings of existing operators in criterion interactive representation are analyzed, and the improved Bonferroni mean with weighted interaction (IWIBM) and its dual operator are... WebIn Section 3, some Bonferroni mean operators in Pythagorean fuzzy environments considering interaction have been developed including the Pythagorean fuzzy interaction …
Bonferroni mean with weighted interaction
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WebApr 10, 2024 · There is also a significant interaction between the treatment and yohimbine administration factors [F (1, 28) = 7.65, p < 0.01]. The results of the Bonferroni multiple comparisons test showed that yohimbine pre-treatments significantly reversed the vortioxetine-induced antihyperalgesic responses in the Randall-Sellito ( p < 0.001) … WebWe show several important properties of the Bonferroni mean with weighted interaction and its connection to concepts studied before. Finally, using the described approach we …
WebFor tackling the SWLSS problem with interrelated attributes in a single-valued neutrosophic (SVN) environment, based on the proposed SVN Schweizer–Sklar weighted power Bonferroni mean (SVNSSWPBM) aggregation operator (AO) and a novel evaluation index system combining economic, environmental, and social issues, this study aims to … WebApr 11, 2024 · This paper proposes the use of weighted multiple linear regression to estimate the triple3interaction (additive×additive×additive) of quantitative trait loci (QTLs) effects. The use of unweighted regression yielded an improvement (in absolute value) in the QTL×QTL×QTL interaction effects compared to assessment …
WebNational Center for Biotechnology Information WebSep 1, 2024 · Since an aggregation operator is an important mathematical tool in decision-making problems, the present paper proposes some new Bonferroni mean and weighted Bonferroni mean averaging operators ...
WebJan 12, 2024 · Abstract:Bonferroni mean aggregates the interaction between all pairs of inputs from some n-dimensional input vector. Therefore, it is able to capture the dependency structure between the inputs. Weighted version of the Bonferroni mean then assumes that each input has a possibly different weight.
WebThe T-spherical fuzzy interaction Bonferroni mean operator and the T-spherical fuzzy interaction geometric Bonferroni mean operator are first defined. Then, the T-spherical fuzzy... barnegat veterinariansWebMay 31, 2024 · The T-spherical fuzzy interaction Bonferroni mean operator and the T-spherical fuzzy interaction geometric Bonferroni mean operator are first defined. Then, the T-spherical fuzzy interaction weighted Bonferroni mean operator and the T-spherical fuzzy weighted interaction geometric Bonferroni mean operator are defined. barnegat twp muaWebApr 13, 2024 · Background: The oxygen extraction fraction (OEF) indicates the brain’s oxygen consumption and can be estimated by using the quantitative susceptibility mapping (QSM) MRI technique. Recent studies have suggested that OEF alteration following stroke is associated with the viability of at-risk tissue. In the present study, the temporal … suzuki l10WebJan 12, 2024 · Bonferroni mean aggregates the interaction between all pairs of inputs from some n-dimensional input vector. Therefore it is able to capture the dependency … barnegat wine \\u0026 spirits barnegat njbarnegat websiteWebMay 1, 2024 · The geometric Bonferroni mean (GeoBM), which was designed as a primitive attempt to extend the Bonferroni mean (BM), has enriched the family of BM … suzuki l1 750WebOct 1, 2024 · Pythagorean Fuzzy Bonferroni Mean with Weighted Interaction Operator and Its Application in Fusion of Online Multidimensional Ratings Article Full-text available Oct 2024 INT J COMPUT INT SYS... barnegat wine \u0026 spirits barnegat nj