A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts

Research article (Expert Systems with Applications, 2021) · cited 19× · AI/ML
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A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts

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A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-likelihood-based-preference-ranking-organization-method-using-dual-point-operators-for-multiple-criteria-decision-anal
MLA “A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-likelihood-based-preference-ranking-organization-method-using-dual-point-operators-for-multiple-criteria-decision-anal.
BibTeX @misc{4ortxyz_a-likelihood-based-preference-ranking-organization-method-using-dual-point-operators-for-multiple-criteria-decision-anal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A likelihood-based preference ranking organization method using dual point operators for multiple criteria decision analysis in Pythagorean fuzzy uncertain contexts}}, year = {2026}, url = {https://4ort.xyz/entity/a-likelihood-based-preference-ranking-organization-method-using-dual-point-operators-for-multiple-criteria-decision-anal}, note = {Accessed: 2026-05-24}}
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