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Consensus theory for multiple latent traits and consensus groups
Journal of Mathematical Psychology, 2020zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Karl Christoph Klauer, André Aßfalg
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Generalization of Consensus Theory and Application to the Minimization of Boolean Functions
IEEE Transactions on Electronic Computers, 1967Given two implicants of a Boolean function, we can, by performing their consensus, find a third implicant. This operation has been used for finding the prime implicants of a Boolean function. In this paper, the consensus is extended from two to any number of terms. A property of these generalized consensus relations leads to a systematic way of finding
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Agreement Theory and Consensus [PDF]
SSRN Electronic Journal, 2012 In order to formalize the act of agreement between two individuals, the concept of consensus functional equation, for a bi-variate map defined on an abstract choice set, is introduced. Then, and in a purely choice-theoretical framework, we relate the solutions of this equation to the notion of a rationalizable agreement rule.
Candeal, Juan Carlos +2 more
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1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings, 2002
Statistical classification methods based on consensus from several data sources are considered. The methods need weighting mechanisms to control the influence of each data source in the combined classification. The weights are optimized in order to improve the combined classification accuracies. Both linear and non-linear methods are considered for the
Jón Atli Benediktsson +2 more
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Statistical classification methods based on consensus from several data sources are considered. The methods need weighting mechanisms to control the influence of each data source in the combined classification. The weights are optimized in order to improve the combined classification accuracies. Both linear and non-linear methods are considered for the
Jón Atli Benediktsson +2 more
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SIAM Journal on Discrete Mathematics, 1991
A broad set-theoretic model for consensus methods is presented. Within the framework of this model, a very general characterization of the median rule as well as various types of quota rule and polynomial rule are obtained. The model encompasses those situations where a single consensus object is achieved, as well as those in which a multiple consensus
Jean-Pierre Barthélemy +1 more
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A broad set-theoretic model for consensus methods is presented. Within the framework of this model, a very general characterization of the median rule as well as various types of quota rule and polynomial rule are obtained. The model encompasses those situations where a single consensus object is achieved, as well as those in which a multiple consensus
Jean-Pierre Barthélemy +1 more
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The Median Procedure in a Formal Theory of Consensus
SIAM Journal on Discrete Mathematics, 1995Summary: A consensus rule on a finite set \(X\) is a function \(c\) from the set of \(k\)-tuples for all \(k> 0\) into the set of nonempty subsets of \(X\). Elements in the image of \(c\) represent a consensus, or agreement, of the input. Axioms for consensus rules are presented, and when \(X\) is partially ordered, some consequences of these axioms ...
Fred R. McMorris, Robert C. Powers
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Consensus with Voting Theory in Blockchain Environments
2019 IEEE International Conference on Big Knowledge (ICBK), 2019A blockchain can be taken as a decentralized and distributed public database. In order to achieve data consistency of the system nodes, the execution of a consensus algorithm is necessary and required in the case of decentralized environments. Simply speaking, the consensus is that every node agrees on some record in the blockchain.
Lei Li 0002 +2 more
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Cultural Consensus Theory for the Ordinal Data Case
Psychometrika, 2015A Cultural Consensus Theory approach for ordinal data is developed, leading to a new model for ordered polytomous data. The model introduces a novel way of measuring response biases and also measures consensus item values, a consensus response scale, item difficulty, and informant knowledge.
Anders, Royce, Batchelder, William
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Consensus Clustering Using Spectral Theory
2009Consensus clustering is a well studied methodology to find partitions through the combination of different formulations or clustering partitions. Different approaches for dealing with this issue using graph clustering have been proposed. Additionally, strategies to find consensus partitions by using graph-based ensemble algorithms have attracted a good
Mariá Cristina Vasconcelos Nascimento +2 more
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Consensus and Dissention: Theory and Properties
NAFIPS 2005 - 2005 Annual Meeting of the North American Fuzzy Information Processing Society, 2005The Likert scale is a popular tool for assessing peoples attitude about various questions. This papers introduces two new measures, dissension and consensus, that provide a better statistic for assessing the amount of overall agreement in a population when data is extracted from the population using a Likert scale.
Wierman, Mark J., Tastle, William J.
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