Evaluating evidence reliability based on intuitionistic fuzzy MCDM model

DOI10.3233/IFS-162181zbMath1366.91050OpenAlexW2417676173MaRDI QIDQ5275185

Wen Quan, Yafei Song, Xiao-Nan Li

Publication date: 11 July 2017

Published in: Journal of Intelligent & Fuzzy Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3233/ifs-162181

zbMATH Keywords

intuitionistic fuzzy setreliability evaluationDempster-Shafer theory of evidencemultiple criteria decision making (MCDM)

Mathematics Subject Classification ID

Decision theory (91B06) Management decision making, including multiple objectives (90B50)

Cites Work

• The GOWA operator based approach to multiattribute decision making using intuitionistic fuzzy sets
• On averaging operators for Atanassov's intuitionistic fuzzy sets
• Perspectives on the theory and practice of belief functions
• The unnormalized Dempster's rule of combination: A new justification from the least commitment principle and some extensions
• On the Dempster-Shafer framework and new combination rules
• Intuitionistic fuzzy sets
• User oriented ranking criteria and its application to fuzzy mathematical programming problems
• Multicriteria fuzzy decision-making problems based on vague set theory
• Handling multicriteria fuzzy decision-making problems based on vague set theory
• Discounted combination of unreliable evidence using degree of disagreement
• On the unicity of dempster rule of combination
• On the axiomatic justification of Dempster's rule of combination
• Fuzzy sets
• Upper and Lower Probabilities Induced by a Multivalued Mapping

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