RT info:eu-repo/semantics/article
T1 A segment-based approach to the analysis of project evaluation problems by hesitant fuzzy sets
A1 Alcantud, José Carlos R.
A1 Andrés Calle, Rocío de
K1 Proyectos
K1 Evaluación
AB We provide a methodology to perform an extensive and systematized analysis of problems where experts voice their opinions on the attributes of projects through a hesitant fuzzy decision matrix. This provides the decision-maker with ample information on which he or she can rely in order to make the final decision, in the form of segments instead of numbers. These segments derive from weighted average of new parametric expressions for two tenable indices of satisfaction, the distance to an ideal or the similarity to an anti-ideal, and permit to give a profuse unified picture of the relative performance of the projects. When the parameter grows, these indices tend to replicate the evaluation by respective simplistic expressions that only depend on the least, resp., the largest, evaluation and the number of evaluations in each cell.
PB Atlantis Press and Taylor & Francis
SN 1875-6891
YR 2016
FD 2016
LK http://uvadoc.uva.es/handle/10324/22846
UL http://uvadoc.uva.es/handle/10324/22846
LA eng
NO International Journal of Computational Intelligence Systems, 2016, vol. 9, p. 325-339
NO Producción Científica
DS UVaDOC
RD 17-jul-2024