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Merginator: A belief merging tool for consensus support

Journal of Intelligent & Fuzzy Systems, 2018
Belief merging aims to combine pieces of information from different (and possibly conflicting) sources so as to produce a single consistent belief base which retains as much information as possible. In this paper, we describe Merginator, a logic-based tool implementing three belief merging operators presented with specific ...
M. Parra   +2 more
semanticscholar   +3 more sources

Graph-Based Belief Merging

Logic, Rationality, and Interaction, 2015
Graphs are employed to define a variety of distance-based binary merging operators. We provide logical characterization results for each class of merging operators introduced and discuss the extension of this approach to the merging of sequences and multisets.
Konstantinos Georgatos
semanticscholar   +2 more sources

Propositional Belief Merging with T-conorms

EUMAS/AT, 2016
We analyze in this paper the impact of introducing fuzzy T-conorm operators in the area of belief merging. There are mainly two subclasses of merging operators: the utilitarian and the egalitarian ones. We prove that a T-conorm merging operator can be included in the subtype of egalitarian operators.
Henrique Viana, João F. L. Alcântara
semanticscholar   +2 more sources

Belief Merging Using Normal Forms

Lecture Notes in Computer Science, 2011
Belief merging aims to conciliate multiple possibly inconsistent belief bases into a consistent common belief base. To handle inconsistency some operators have been proposed. Most of them do not consider inconsistent bases. PS-Merge is an alternative method of merging that uses the notion of Partial Satisfiability and allows us to take into account ...
Pilar Pozos Parra   +2 more
exaly   +2 more sources

Axiomatic characterization of belief merging by negotiation

Multimedia Tools and Applications, 2013
Belief merging has been an active research field with many important applications. The major approaches for the belief merging problems, considered as arbitration processes, are based on the construction of the total pre-orders of alternatives using distance functions and aggregation functions.
T. Tran, N. Nguyen, Q. Vo
semanticscholar   +3 more sources

Merging Possibilistic Belief Bases by Argumentation

Asian Conference on Intelligent Information and Database Systems, 2017
Belief merging is one of active research fields with a large range of applications in Artificial Intelligence. Most of the work in this research field is in the centralized approach, however, it is difficult to apply to interactive systems such as multi-agent systems. In this paper, we introduce a new argumentation framework for belief merging. To this
Thi Hong Khanh Nguyen   +3 more
semanticscholar   +2 more sources

On the links between belief merging, the Borda voting method, and the cancellation property

AI Communications, 2023
In this work, we explore the links between the Borda voting rule and belief merging operators. More precisely, we define two families of merging operators inspired by the definition of the Borda voting rule.
Patricia Everaere   +3 more
semanticscholar   +1 more source

Implementing Δps (PS-Merge) Belief Merging Operator for Belief Revision

Computación y Sistemas, 2017
Óscar Chávez-Bosquez   +2 more
semanticscholar   +2 more sources

Merging operators on stratified belief bases equipped with argumentative inference

J. Appl. Non Class. Logics, 2023
This work considers the formalisation of the merging process of stratified belief bases, where beliefs are stored in different layers or strata. Their strata are ranked, following a total order, employing the value the agent using the belief base assigns
Marcelo A. Falappa   +2 more
semanticscholar   +1 more source

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