2022
DOI: 10.1109/access.2022.3185765
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Multi Label Feature Selection Through Dual Hesitant q-Rung Orthopair Fuzzy Dombi Aggregation Operators

Abstract: In this article, the feature selection (FS) process is taken as a multi criteria decision making (MCDM) problem. Also, to consider the impreciseness arising in the real time data, the values of the decision matrix procured after the ridge regression is fuzzified into dual hesitant q-rung orthopair fuzzy set. For the information fusion process, we have proposed various aggregation operators such as the Dual Hesitant q-rung orthopair fuzzy weighted Dombi arithmetic aggregation operator, Dual Hesitant q-rung orth… Show more

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Cited by 7 publications
(3 citation statements)
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“…Saha et al (2022) discussed the MARCOS using generalized Dombi operator under dual probabilistic linguistic setting to deal with biomass feedstock selection problem. Kavitha et al (2022) utilized the hesitant q-rung orthopair fuzzy Dombi AOs for feature selection. Unfortunately, there is no work regarding the improved Dombi AOs for IVIFSs.…”
Section: Introductionmentioning
confidence: 99%
“…Saha et al (2022) discussed the MARCOS using generalized Dombi operator under dual probabilistic linguistic setting to deal with biomass feedstock selection problem. Kavitha et al (2022) utilized the hesitant q-rung orthopair fuzzy Dombi AOs for feature selection. Unfortunately, there is no work regarding the improved Dombi AOs for IVIFSs.…”
Section: Introductionmentioning
confidence: 99%
“…Gurmani et al [28] introduced linguistic T-SFSs, defined Dombi operations for linguistic T-spherical fuzzy numbers and developed AOs based on Dombi operations. For further details about Dombi operators, please refer to studies [29][30][31][32][33][34]. The preceding conversation underscores the notable absence of Dombi aggregation operators tailored specifically for the 𝑝, 𝑞, 𝑟 −spherical fuzzy (𝑝, 𝑞, 𝑟 −SF) context.…”
Section: A Dombi Aggregation Operatorsmentioning
confidence: 99%
“…Saha et al [ 19 ] discussed the MARCOS using generalized Dombi operator under dual probabilistic linguistic setting to deal with biomass feedstock selection problem. Kavitha et al [ 29 ] utilized the hesitant q-rung orthopair fuzzy Dombi AOs for feature selection. However, there is no work about the unification of PAO and Dombi AOs with DPL setting.…”
Section: Related Workmentioning
confidence: 99%