Sergio Alonso

TL;DR: This contribution presents a comprehensive review on the h-index and related indicators field, studying their main advantages, drawbacks and the main applications that can be found in the literature.

TL;DR: The main improvement of this consensus model is that it supports the management of incomplete information and it allows to achieve consistent solutions with a great level of agreement.

TL;DR: This paper proposes an iterative procedure to estimate the missing information in an expert's incomplete fuzzy preference relation, guided by the additive-consistency (AC) property, and proposes a new induced ordered weighted averaging operator, the AC-IOWA operator, which permits the aggregation of the experts' preferences in such a way that more importance is given to the most consistent ones.

TL;DR: An historical perspective of CW in decision making is presented by examining the pioneer papers in the field along with its most recent applications and different linguistic computational models that have been applied to the decision making field are explored.

TL;DR: It is shown that under the assumptions of continuity and monotonicity properties, the set of representable uninorm operators is characterized as the solution to this functional equation that is put forward to model the cardinal consistency of reciprocal preference relations.