Ordinal semi-democratic Paired comparison

g m ch imp h de pa rac gs rank-ordering. A detailed description of the new algorithm is supported by practical examples. m is t rent a ion-ma g n alte theM eflect real-life contexts, ranging from multi-criteria decision aiding [3] to tives [6], and (ii) they do not require a common scale – neither numeric, linguistic or ordinal – to be shared by the interacting agents [7]. 20%, teaching activity for 30%, etc. Although the literature provides ion – for example, in [17], or bably beca their complexity. For these contexts, the problem of weight assignment is p ly overcome by expressing the agents ’ importance in the fo rank-ordering – such as D1> (D2 D3)>...> DM – instead of a set of weights defined on a cardinal scale. In fact, the formulation of such a rank-ordering is certainly simpler and more intuitive than that of a set of weights, especially when the agent importance pri-oritization is uncertain [6]. This paper will focus on this specific problem, which can be denominated as ordinal semi-democratic; the adjective semi-demo-⇑ Corresponding author