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Approximate Judgement Aggregation [chapter]

Ilan Nehama
2011 Lecture Notes in Computer Science  
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

Ilan Nehama
2013 Annals of Mathematics and Artificial Intelligence  
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

Roger Lera-Leri, Filippo Bistaffa, Marc Serramia, Maite López-Sánchez, Juan A. Rodríguez-Aguilar
2022 International Joint Conference on Autonomous Agents & Multiagent Systems  
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

L. Mikhailov
2000 Journal of the Operational Research Society  
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

Judy Goldsmith, Jörg Rothe
2013 Annals of Mathematics and Artificial Intelligence  
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

Andrzej Skowron, Andrzej Jankowski, Soma Dutta
2016 Granular Computing  
., (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

Frédéric Pauer, Katharina Schmidt, Ana Babac, Kathrin Damm, Martin Frank, J.-Matthias Graf von der Schulenburg
2016 BMC Medical Informatics and Decision Making  
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]

Andrzej Skowron, Andrzej Jankowski
2015 Lecture Notes in Computer Science  
., (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

Dennie van Dolder, Martijn J. van den Assem
2017 Nature Human Behaviour  
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

Yi Wen Kerk, Lie Meng Pang, Kai Meng Tay, Chee Peng Lim
2016 2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)  
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

Y. Chen, D. Marc Kilgour, Keith W. Hipel
2011 Group Decision and Negotiation  
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

Massinissa Si Mehand, Piers Millett, Farah Al-Shorbaji, Cathy Roth, Marie Paule Kieny, Bernadette Murgue
2018 Emerging Infectious Diseases  
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

Stewart Whiting, Jesus A. Rodriguez Perez, Guido Zuccon, Teerapong Leelanupab, Joemon M. Jose
2011 Text Retrieval Conference  
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

Priyank Srivastava, Arsalan Mustafa, Dinesh Khanduja, Sunil Kumar Chowdhary, Naveen Kumar, Kartik, Rajendra Kumar Shukla
2020 Procedia Computer Science  
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

Tamás Jónás, Zsuzsanna Eszter Tóth, Gábor Árva
2018 Total Quality Management and Business Excellence  
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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