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Approximate Judgement Aggregation
[chapter]
2011
Lecture Notes in Computer Science
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We generalize the current results by studying approximate judgment aggregation. That is, we relax the main two constraints assumed in the current literature. ...
We analyze judgement aggregation problems in which a group of agents independently votes on a set of complex propositions that has some interdependency constraint between them (e.g., transitivity when ...
General Definition of Approximate Aggregation In this paper we defined approximate aggregation by leaving the independence constraint intact and relaxing the consistency constraint. ...
doi:10.1007/978-3-642-25510-6_26
fatcat:dbkhomiiavgrzfu2mkeg24we4u
Approximately classic judgement aggregation
2013
Annals of Mathematics and Artificial Intelligence
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We consider the issue of judgement aggregation from the perspective of approximation. That is, we generalize the previous results by studying approximate judgement aggregation. ...
The question we raise for Approximate Aggregation can be stated in terms of Property Testing. ...
Nehama, I.: Approximate judgement aggregation. In: WINE. ...
doi:10.1007/s10472-013-9358-6
fatcat:biudg2iasncyvao7bnfewzleku
Towards Pluralistic Value Alignment: Aggregating Value Systems Through l p -Regression
2022
International Joint Conference on Autonomous Agents & Multiagent Systems
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Thus, this paper advances the state of the art by proposing a method for the aggregation of value systems. ...
Our aggregation method allows us to consider a range of ethical principles, from utilitarian (maximum utility) to egalitarian (maximum fairness). ...
norm approximation problem [7] ). ...
dblp:conf/atal/Lera-LeriBSLR22
fatcat:hhuc65inybcotgxh5s7pmjkl6a
A Fuzzy Programming Method for Deriving Priorities in the Analytic Hierarchy Process
2000
Journal of the Operational Research Society
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The proposed method can easily deal with missing expert's judgements and provides a meaningful indicator for measuring the level of group satisfaction and group consistency. ...
The assessment of the priorities from fuzzy pairwise comparison judgements is formulated as an optimisation problem, maximising the group's overall satisfaction with the group solution. ...
It can be observed that the group priorities satisfy approximately all initial judgements. ...
doi:10.2307/254092
fatcat:bu2zdy7mdjahvf32fypbalt5jy
Algorithms, approximation, and empirical studies in behavioral and computational social choice—Preface
2013
Annals of Mathematics and Artificial Intelligence
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of social welfare optimization in multiagent resource allocation, to judgement aggregation from the ...
The main focus of the papers collected here is on algorithms and approximation as well as on empirical and experimental studies, and both original research papers and survey papers are included. ...
-Approximately Classic Judgement Aggregation, by Ilan Nehama, looks at the problem of learning the truth, rather than a preferred outcome, from many agents. ...
doi:10.1007/s10472-013-9380-8
fatcat:2753zv2e6rgpza4sexzx7dfrde
Interactive granular computing
2016
Granular Computing
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., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules, aggregation operations, (approximate) reasoning schemes]. ...
Moreover, the approximations of the complex vague concepts initiating actions (or plans) are drifting with time. Hence, adaptive strategies for evolving approximations of concepts are needed. ...
These approximations may help the system to follow, in an approximate sense, the judgement schemes expressed in the relevant (for the considered problems) fragment of a natural language. ...
doi:10.1007/s41066-015-0002-1
fatcat:qe77wrv72bgprofjlexot4cgx4
Comparison of different approaches applied in Analytic Hierarchy Process – an example of information needs of patients with rare diseases
2016
BMC Medical Informatics and Decision Making
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To a large extent, the local ranks for individual and group judgements were similar. Interestingly, group judgements were in a significantly smaller range than individual judgements. ...
Studies have shown that there are several different approaches to data acquisition and data aggregation. ...
Today, approximately 4 million people in Germany suffer from rare diseases. ...
doi:10.1186/s12911-016-0346-8
pmid:27613239
pmcid:PMC5016921
fatcat:mzyothtzprhf7bbulnbi7ilo5i
Interactive Granular Computing
[chapter]
2015
Lecture Notes in Computer Science
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., (behavioral) patterns, classifiers, clusters, structural objects, sets of rules, aggregation operations, (approximate) reasoning schemes]. ...
Moreover, the approximations of the complex vague concepts initiating actions (or plans) are drifting with time. Hence, adaptive strategies for evolving approximations of concepts are needed. ...
These approximations may help the system to follow, in an approximate sense, the judgement schemes expressed in the relevant (for the considered problems) fragment of a natural language. ...
doi:10.1007/978-3-319-25754-9_5
fatcat:5o3p7ezblvb4tgnymcf3shckoi
The wisdom of the inner crowd in three large natural experiments
2017
Nature Human Behaviour
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If judgements can be improved by aggregating two estimates, aggregating a greater number of estimates is likely to lead to further improvements. ...
Hence, the 'pure' within-person aggregation benefit is considerably lower than the benefit of aggregating two judgements from different individuals. ...
doi:10.1038/s41562-017-0247-6
fatcat:k7ju7loxujcnpagfsubnivxhyq
Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test
2016
2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
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A three-phase MEDM framework consists of modelling, aggregation, and exploitation phases is proposed. ...
In the aggregation phase, an overall collective rating score of an alternative from a number of experts is obtained through the fuzzy weighted averaging operator. ...
Each expert is characterized by his/her judgements or preferences on a predefined set of alternatives with respect to each attribute(s) [16] . ...
doi:10.1109/fuzz-ieee.2016.7737673
dblp:conf/fuzzIEEE/KerkPTL16
fatcat:7qx36f33wbbrneeneghwdus5oa
A Decision Rule Aggregation Approach to Multiple Criteria-Multiple Participant Sorting
2011
Group Decision and Negotiation
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Keywords Group decision making · Multiple criteria-multiple participant sorting · Dominance-based rough set approach · Dempster-Shafer theory of evidence · Decision rule aggregation ...
Next, DS theory is applied to aggregate the decision rules triggered by all participants' evaluations of an alternative, thereby generating an overall decision recommendation for the alternative. ...
approximation quality, and participants' relative importance. • Final Aggregated Results: Select the most plausible result based on the outcome of the aggregated rules. ...
doi:10.1007/s10726-011-9246-6
fatcat:wqgld2b2drbf5j67c6ove3ny7m
World Health Organization Methodology to Prioritize Emerging Infectious Diseases in Need of Research and Development
2018
Emerging Infectious Diseases
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According to Saaty, the geometric mean should be used when aggregating people's opinions (1): "Two important issues in group decision making are: how to aggregate individual judgements in a group into ...
Judgements must be combined so that the reciprocal of the synthesized judgements is equal to the syntheses of the reciprocals of these judgements. ...
doi:10.3201/eid2409.171427
pmid:30124424
pmcid:PMC6106429
fatcat:fuvdnvczvvc75cpdk46dss7rnu
University of Glasgow (qirdcsuog) at TREC Crowdsourcing 2011: TurkRank-Network-based Worker Ranking in Crowdsourcing
2011
Text Retrieval Conference
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The TurkRank score calculated for each worker is incorporated with a worker-weighted mean label aggregation. ...
Meanwhile, some have suggested heuristics, such as work time or reward level, approximately correlate with work quality, whereas others have reported no such connection. ...
The baseline is provided by the consensus for all examples: 16785 judgements, 1000 judgements and the 1000 gold set judgements. ...
dblp:conf/trec/WhitingPZLJ11
fatcat:rz54b4fosbd7nk3e5vj4rqg4ya
Prioritizing Autonomous Maintenance System Attributes using Fuzzy EDAS Approach
2020
Procedia Computer Science
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Often expert's judgement is recorded in terms of linguistic terms approximated by some rating scale. ...
are the cell values of aggregated matrix and � �� normalized aggregated matrix ...
doi:10.1016/j.procs.2020.03.217
fatcat:3pbtj6yyv5gtroqyxfktaghrim
Applying a fuzzy questionnaire in a peer review process
2018
Total Quality Management and Business Excellence
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By utilising the principles of Dombi's Pliant Arithmetic, fuzzy Likert scale based evaluations given by peer reviewers can be cumulated by aggregating the parameters of the left-and right-hand sides of ...
By following Dombi's Pliant Inequality Model (Dombi, 2009) , the aggregate evaluation based on different raters' judgement can be computed in a convenient way since the parameters of our membership functions ...
are aggregated according to the arithmetic and harmonic mean. ...
doi:10.1080/14783363.2018.1487616
fatcat:mxzqrcjcpnckxl7txelybfdcbm
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