The pseudo-information entropy of \(Z\)-number and its applications in multi-attribute decision-making

DOI10.1016/j.ins.2023.119886OpenAlexW4388571699MaRDI QIDQ6192298

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Publication date: 12 February 2024

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

Full work available at URL: https://doi.org/10.1016/j.ins.2023.119886

zbMATH Keywords

weighting methodmulti-attribute decision-making\(Z\)-numberpseudo-conditional entropypseudo-information entropy

Mathematics Subject Classification ID

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

Cites Work

• Unnamed Item
• A Mathematical Theory of Communication
• The arithmetic of discrete Z-numbers
• A note on \(Z\)-numbers
• Functions defined on a set of Z-numbers
• An analysis of the generalized TODIM method
• \(Z\)-advanced numbers processes
• The arithmetic of continuous Z-numbers
• Probability measures of fuzzy events
• On the negation of discrete Z-numbers
• On ordered weighted averaging aggregation operators in multicriteria decisionmaking
• Rough sets
• Fuzzy sets
• Canonical representations of discrete fuzzy numbers
• Stochastic multicriteria decision‐making approach based on SMAA‐ELECTRE with extended gray numbers

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