An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

Research article (International Journal of Intelligent Systems, 2020) · cited 42× · AI/ML
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An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean

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An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-extended-copras-method-for-multiattribute-group-decision-making-based-on-dual-hesitant-fuzzy-maclaurin-symmetric-mean
MLA “An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-extended-copras-method-for-multiattribute-group-decision-making-based-on-dual-hesitant-fuzzy-maclaurin-symmetric-mean.
BibTeX @misc{4ortxyz_an-extended-copras-method-for-multiattribute-group-decision-making-based-on-dual-hesitant-fuzzy-maclaurin-symmetric-mean_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean}}, year = {2026}, url = {https://4ort.xyz/entity/an-extended-copras-method-for-multiattribute-group-decision-making-based-on-dual-hesitant-fuzzy-maclaurin-symmetric-mean}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An extended COPRAS method for multiattribute group decision making based on dual hesitant fuzzy Maclaurin symmetric mean — https://4ort.xyz/entity/an-extended-copras-method-for-multiattribute-group-decision-making-based-on-dual-hesitant-fuzzy-maclaurin-symmetric-mean (retrieved 2026-05-24)

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