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Discrete Choice Experiment (DCE) as a Tool to Elicit Patient Preferences in a Complex Benefit-Risk Evaluation: A Case Study. [PDF]
E JY +5 more
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Robust consensus ordinal priority approach for improvisational emergency supplier selection under expert consensus ambiguity. [PDF]
Mao H, Wang R.
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On distance, similarity and entropy measures of multidimensional fuzzy sets. [PDF]
Josen J, John SJ, Vallikavungal J.
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Fuzzy decision making for cross domain sentiment analysis and MABAC approach with complex T-spherical fuzzy operators. [PDF]
Qi Y.
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The role of attention in multi attribute decision making. [PDF]
Sampson AL +5 more
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Linguistic Attribute Hierarchies for Multiple-Attribute Decision Making
2007 IEEE International Fuzzy Systems Conference, 2007We propose label semantics as an integrated representation framework for probabilistic uncertainty and fuzziness in multiple-attribute decision making problems. Linguistic attribute hierarchies are then introduced as a means of modelling the complex and often imprecise functional relationships between low-level attributes or measurements and high-level
Jonathan Lawry, Hongmei He
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Collaborative filtering based on multiple attribute decision making
Journal of Experimental & Theoretical Artificial Intelligence, 2021To address the sparsity problem, a novel collaborative filtering approach based on multiple attribute decision making (MADM-CF) is proposed.
Ya-Jun Leng +3 more
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Multiple Attribute Decision Making
1998A multiple attribute decision making (simply MADM) problem usually comprises a finite number of explicitly given alternative designs and a set of performance attributes. Design selection involves either choosing the most favourable design from the alternative set or ranking all the alternative designs with regard to all attributes.
Pratyush Sen, Jian-Bo Yang
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