Coalitions of arguments: A tool for handling bipolar argumentation frameworks

By Claudette Cayrol, Marie-Christine Lagasquie-Schiex. 2010

355 citations recorded by the source corpus.

Bipolar argumentation frameworks enable to represent two kinds of interaction between arguments: support and conflict. In this paper, we turn a bipolar argumentation framework into a meta-argumentation framework where conflicts occur between sets of arguments, characterized as coalitions of supporting arguments. So, Dung's well-known semantics can be used on this meta-argumentation framework to select the acceptable arguments. © 2009 Wiley Periodicals, Inc. This article is an extended version of a paper accepted for CMNA Workshop (Computational Models of Natural Arguments), which has been published in January 2007. This extension concerns algorithms, complexity results, and some new definitions and properties.

View Paper: https://www.semanticscholar.org/paper/9eb315021c441bad6c58cf17fbd9d3ffb84379a8

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Citations in the corpus

Hesitant fuzzy information aggregation in decision making (2011, background): “[23] extended it to accommodate situations where the input arguments are IFVs.”
Approaches to multiple attribute group decision making based on intuitionistic fuzzy power aggregation operators (2011, methodology): “Recently, some operators have been given to aggregate IFNs [21–23,14–16,12,13,3,27,30,20,5,17,18], such as intuitionistic fuzzy ordered weighted averaging operator, intuitionistic fuzzy ordered weighted geometric operator, and intuitionistic fuzzy hybrid aggregation operators.”
Some Hesitant Fuzzy Aggregation Operators with Their Application in Group Decision Making (2011, methodology): “Xu (2010); Tan and Chen (2010) applied the Choquet integral to intuitionistic fuzzy environment and proposed some intuitionistic fuzzy aggregation techniques.”
Some issues on intuitionistic fuzzy aggregation operators based on Archimedean t-conorm and t-norm (2012, background): “[44] and Li [20] introduced the generalized intuitionistic fuzzy aggregation operator, which gives a mapping to the arguments before aggregation, and an inverse mapping to the aggregated results at the end.”
Induced generalized intuitionistic fuzzy operators (2011, methodology): “(27) reduces to the generalized intuitionistic fuzzy weighted averaging (GIFWA) operator [44].”
The Interval-Valued Intuitionistic Fuzzy MULTIMOORA Method for Group Decision Making in Engineering (2015, methodology): “The results obtained by solving the above problem by different methods, including the method of Wang et al. [51], IFOWA [62], TOPSIS-IVIF [19], COPRAS-IVIF [31], and WASPAS-IVIF [36], are presented in Table 6.”
Distance and similarity measures for hesitant fuzzy sets (2011, background): “(4) is motivated by the generalized idea provided by Yager [49], which has been widely applied in decision making [2,21,46,55,56].”