Multiattribute decision making using probability density functions and transformed decision matrices in interval-valued intuitionistic fuzzy environments

DOI10.1016/j.ins.2020.07.002zbMath1479.91101OpenAlexW3045189448MaRDI QIDQ2053904

Kang-Yun Fan, Xin-Yao Zou, Shyi-Ming Chen

Publication date: 30 November 2021

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

Full work available at URL: https://doi.org/10.1016/j.ins.2020.07.002

zbMATH Keywords

MADMIVIFVs\(z\)-score decision matrixIVIFSsPDFstransformed decision matrix

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50) Mathematical economics and fuzziness (91B86)

Related Items (6)

Multiattribute decision making based on converted decision matrices, probability density functions, and interval-valued intuitionistic fuzzy values ⋮ Multiattribute decision making based on new score function of interval-valued intuitionistic fuzzy values and normalized score matrices ⋮ Multiattribute decision making using novel score function of interval-valued intuitionistic fuzzy values and the means and the variances of score matrices ⋮ Multiple attribute decision making using beta distribution of intervals, expected values of intervals, and new score function of interval-valued intuitionistic fuzzy values ⋮ Multiattribute decision making based on novel score function and the power operator of interval-valued intuitionistic fuzzy values ⋮ Interval-valued hesitant fuzzy linguistic multiattribute decision-making method based on three-parameter Heronian mean operators

Cites Work

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• Multiattribute decision making based on nonlinear programming methodology, particle swarm optimization techniques and interval-valued intuitionistic fuzzy values
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• Group decision making with incomplete intuitionistic multiplicative preference relations
• Multiattribute decision making based on \(U\)-quadratic distribution of intervals and the transformed matrix in interval-valued intuitionistic fuzzy environments
• Fuzzy sets

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