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  1. A Model of Influence in a Social Network.Michel Grabisch & Agnieszka Rusinowska - 2010 - Theory and Decision 69 (1):69-96.
    In the paper, we study a model of influence in a social network. It is assumed that each player has an inclination to say YES or NO which, due to influence of other players, may be different from the decision of the player. The point of departure here is the concept of the Hoede-Bakker index - the notion which computes the overall decisional 'power' of a player in a social network. The main drawback of the Hoede-Bakker index is that it (...)
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  2. A Representation of Preferences by the Choquet Integral with Respect to a 2-Additive Capacity.Brice Mayag, Michel Grabisch & Christophe Labreuche - 2011 - Theory and Decision 71 (3):297-324.
    In the context of Multiple criteria decision analysis, we present the necessary and sufficient conditions allowing to represent an ordinal preferential information provided by the decision maker by a Choquet integral w.r.t a 2-additive capacity. We provide also a characterization of this type of preferential information by a belief function which can be viewed as a capacity. These characterizations are based on three axioms, namely strict cycle-free preferences and some monotonicity conditions called MOPI and 2-MOPI.
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  3.  91
    A Model of Influence with an Ordered Set of Possible Actions.Michel Grabisch & Agnieszka Rusinowska - 2010 - Theory and Decision 69 (4):635-656.
    In the article, a yes–no model of influence is generalized to a multi-choice framework. We introduce and study the weighted influence indices of a coalition on a player in a social network where the players have an ordered set of possible actions. Each player has an inclination to choose one of the actions. Due to the mutual influence among players, the final decision of each player may be different from his original inclination. In a particular case, the decision of the (...)
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  4.  48
    Aggregation on Bipolar Scales.Michel Grabisch - 2006 - In Harrie de Swart, Ewa Orlowska, Gunther Smith & Marc Roubens (eds.), Theory and Applications of Relational Structures as Knowledge Instruments Ii. Springer. pp. 355--371.
  5. Temporal Scenario Modelling and Recognition Based on Possibilistic Logic.Michel Grabisch - 2003 - Artificial Intelligence 148 (1-2):261-289.
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