Design alternative assessment and selection: a novel Z-cloud rough number-based BWM-MABAC model

DOI10.1016/J.INS.2022.04.040OpenAlexW4225009741MaRDI QIDQ6191619

Liming Xiao, Luis Manuel Martínez, Witold Pedrycz, Guangquan Huang, Dragan Pamučar, Genbao Zhang

Publication date: 7 March 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.04.040

zbMATH Keywords

best-worst methodMABACdesign alternative assessmentmultiple layers of uncertaintiesZ-cloud rough numbers

Mathematics Subject Classification ID

Sensitivity, stability, parametric optimization (90C31) Management decision making, including multiple objectives (90B50) Production models (90B30)

Cites Work

• A note on \(Z\)-numbers
• Method of multi-criteria group decision-making based on cloud aggregation operators with linguistic information
• Ordered fuzzy random variables: definition and the concept of normality
• A ranking model of Z-mixture-numbers based on the ideal degree and its application in multi-attribute decision making
• Proportional hesitant fuzzy linguistic term set for multiple criteria group decision making
• Generating HFLTS possibility distribution with an embedded assessing attitude
• Rough sets

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