
We explore how judgment aggregation and belief merging in the framework of fuzzy logic can help resolve the “Doctrinal Paradox.” We also illustrate the use of fuzzy aggregation functions in social choice theory.
Economics and Econometrics, Judgment Aggregation, Intuitionistic Fuzzy Sets, Artificial intelligence, Learning and Inference in Bayesian Networks, Social Sciences, Social choice, Group Decision Making, Multi-Criteria Decision Making, Management Science and Operations Research, Mechanism Design and Matching Theory in Economics, Fuzzy logic; logic of vagueness, Decision Sciences, Social choice theory, QA76.75-76.765, Artificial Intelligence, FOS: Mathematics, Computer software, Belief Functions, Mathematical economics, Computer science, TK1-9971, Fuzzy logic, Economics, Econometrics and Finance, Fuzzy Sets, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Mathematics
Economics and Econometrics, Judgment Aggregation, Intuitionistic Fuzzy Sets, Artificial intelligence, Learning and Inference in Bayesian Networks, Social Sciences, Social choice, Group Decision Making, Multi-Criteria Decision Making, Management Science and Operations Research, Mechanism Design and Matching Theory in Economics, Fuzzy logic; logic of vagueness, Decision Sciences, Social choice theory, QA76.75-76.765, Artificial Intelligence, FOS: Mathematics, Computer software, Belief Functions, Mathematical economics, Computer science, TK1-9971, Fuzzy logic, Economics, Econometrics and Finance, Fuzzy Sets, Computer Science, Physical Sciences, Electrical engineering. Electronics. Nuclear engineering, Mathematics
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