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Ranking of decision rules with random power distribution
Daniel Berend
, Yuri Chernyavsky
Department of Industrial Engineering and Management
Research output
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Contribution to journal
›
Article
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peer-review
1
Scopus citations
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Keyphrases
Decision Maker
100%
Power Distribution
100%
Expert Rules
100%
Computational Complexity
100%
Expertise Level
100%
Simple Majority Rule
100%
Decision-making Power
100%
Collective Decision-making
100%
Random Power
100%
Computer Science
Sufficient Condition
100%
Decision Maker
100%
Computational Complexity
100%
Simple Majority
100%
Collective Decision Making
100%
Probability
100%
Mathematics
Decision Rule
100%
Decision Maker
33%
Necessary and Sufficient Condition
33%
Correct Decision
33%
Probability
33%
Economics, Econometrics and Finance
Voting Rule
100%
Group Decision-Making
100%